Depression and stressful life events among medical students during undergraduate career: Findings from a medical school in South Asia

Number of Citations:

Published online: 2 January, TAPS 2019, 4(1), 42-47
DOI: https://doi.org/10.29060/TAPS.2019-4-1/OA2025

Dakshitha P. Wickramasinghe, Isuru S. Almeida & Dharmabandhu N. Samarasekera

Department of Surgery, Faculty of Medicine, University of Colombo

Abstract

Purpose: Medical students face significant psychological stress and adverse life events throughout their student career. The aim of this study was to assess the prevalence of depression among medical undergraduates in a medical faculty in Sri Lanka.

Methods: A cross-sectional study using a self-administrated, validated questionnaire was conducted among 300 undergraduate medical students of the University of Colombo, Sri Lanka. Prevalence of depression was assessed using Beck Depression Inventory (BDI). The data were analysed by the Mann-Witney U-test. P values less than 0.05 were considered statistically significant.

Results: Three hundred students participated in the study (male: female: 111: 189). Overall, 19% (male: female: 25:32) of students were identified as depressed. Depression was most common among 1st year (25%) students followed by final year (20%) and 3rd year (12%) students respectively. Depression was more common in students who were living in rented rooms compared to those residing in hostels and home (22%, 19.1% and 13.3%, respectively). Depression was less prevalent in students who participated in extracurricular activities than those who did not (11.9% vs 23.6%, P<0.05, Mann-Whitney U-test). There were 2 students with extreme depression.

Multivariate analysis identified residency outside the city and adverse life events to be associated with a higher risk of depression and extracurricular activities to be associated with a lower risk.

Conclusions: 1st year and female medical students had a higher prevalence of depression while those who participated in extracurricular activities had lower rates. A system should be established to identify students with depressive features early.

Keywords:            Medical students, Depression, Stress, Sri Lanka

Practice Highlights

  • Medical students have a higher prevalence of depression.
  • Depression was seen less in students engaging in extracurricular activities.

I. INTRODUCTION

The increasing industrialisation in the 20th century saw an increase in stress-related mental disorders (Rab, Mamdou, & Nasir, 2008). By the year 2020, it is postulated that anxiety and depression will be only second to heart diseases in terms of disability worldwide (Lopez & Murray, 1998). Medical students are confronted with stressful life events throughout their student career due to the quantum of material to be learnt and frequent academic evaluations (Mosley Jr et al., 1994). In addition, medical schools themselves are said to be stressful environments, which adversely affects students’ academic performance and their physical and psychological wellbeing (Mosley Jr et al., 1994).

Medical students have a higher rate of depression and stress than the general population (Rotenstein et al., 2016). Furthermore undergraduate medical students are the most distressed student group among all undergraduates (Rosenthal & Okie, 2005; Sherina, Rampal, & Kaneson, 2004). Two studies done in the USA using a questionnaire and cut-off values similar to the present study identified depression rates of 21.8% (Haglund et al., 2009) and 23.6% (Ghodasara, Davidson, Reich, Savoie, & Rodgers, 2011) among medical students.

Another study (Kulsoom & Afsar, 2015) recognised that stress and depression were higher in medical students who are preparing for exams. There is evidence that depressive symptoms may worsen as they progress in their career (Newbury-Birch, Lowry, & Kamali, 2002).

In addition, stress can adversely affect the academic performance (Melaku, Mossie, & Negash, 2015; Sohail, 2013), lead to stress-induced disorders (Malathi & Damodaran, 1999) and alcohol and substance abuse (Ball and Bax, 2002; Melaku et al., 2015). Therefore, students who are under extreme stress or depression need medical attention to prevent a cascade of troublesome consequences. Available evidence suggests that many of these psychological problems are under-diagnosed and under-treated, and may eventually lead to psychological morbidity (Tyssen, Vaglum, Grønvold, & Ekeberg, 2001). Previous authors have also shown that mental health deteriorates after beginning medical school career and remains low throughout their training (Rosal et al., 1997), and may even continue later into the internship, postgraduate studies and later life (Ahmed, Banu, Al-Fageer, & Al-Suwaidi, 2009).

The primary objective of this study was to determine the prevalence of depression and stressful life events among medical undergraduates. The secondary objective was to compare these findings with the first year, third year and final year medical students.

II. METHODS

A. Subjects & Setting

A cross-sectional study was conducted at the Faculty of Medicine, University of Colombo, Sri Lanka, from June to August 2016. The undergraduate program spans over 5 years, with 3 academic terms every year. The students learn pre-clinical subjects in the first 3 terms. This is followed by a module based teaching in the 2nd – 4th years (e.g. Cardio-vascular system, respiratory system) while simultaneously undergoing clinical training. The final year is almost entirely clinical training.

A self-administered questionnaire was distributed at a teaching activity where 100 students from the first, third and final year batches were present. These students represented the 1st year, 3rd year and final year who started their academic studies in 2015,2013 and 2011 respectively. All students returned completed questionnaires (100% response rate) as it was distributed during a common teaching activity and the responses were collected at the end of the teaching session.

The objectives of the study were explained to the participants and returning a completed questionnaire was assumed to be implied consent. To ensure anonymity, the participants were instructed to refrain from including identifiers on the questionnaire.

Students with self-reported longstanding physical/ mental illnesses were excluded from the analysis.

B. Instruments

The self-administered questionnaire included demographic details, history of physical and mental illnesses before entering medical faculty and involvement in extracurricular activities. The students were also asked to complete the Beck Depression Inventory (BDI)(Beck, Steer, & Brown, 1996).

The BDI is a 21-item self-report inventory. It can measure the severity of depression in adolescents and adults. The BDI was chosen to screen for depression in this study because of its well-established validity among medical undergraduates (Mancevska, Bozinovska, Tecce, Pluncevik-Gligoroska, & Sivevska-Smilevska, 2007). Beck, Steer & Carbin (1988) found a mean coefficient alpha of 0.86 and 0.81 for psychiatric and nonpsychiatric subjects, respectively.

The validated questionnaire consisted of 21 questions. The scale consists of items including depressive symptoms with intensities ranging from normal to extreme depression. We adopted the cut-off scores proposed by Mancevska et al. (2007). A cutoff point of 17 and above was used for detection of depression. BDI score of 31-40 was considered as severe depression and a score of above 40 was considered extreme depression.

A validated Sinhala version of the BDI is available (Rodrigo, Kuruppuarachchi, & Pathmeswaran, 2015), but we decided to use the original English version because the undergraduate program is conducted in English.

C. Data analysis

Statistical analysis was done using SPSS® 21.0 statistical software (SPSS Inc., USA) for Windows®. Results of categorical variables were expressed as frequencies and proportions while continuous variables were expressed using means ± standard deviations. Mann-Whitney U-test was used to compare data between groups. Logistic regression was used for multivariate analysis.

A P-value <0.05 was considered to be statistically significant.

III. RESULTS

A. Demographic data

All the students who were invited to participate returned a completed questionnaire (100%). The sample consisted of 300 undergraduate students, including 111 (37%) males and 189 (63%) females from three batches. The mean age of the sample was 22.9 (SD1.89, range 17-28) years (Table 1).

Batch Number of students Mean age (±SD years)
Male Female Male Female
1st year 33 67 21 (SD± 0.68) 20.85 (SD± 1.1)
3rd year 32 68 23 (SD± 1.14) 22.9 (SD± 1.19)
Final year 46 54 24.8(SD± 1.12) 24.67(SD± 0.89)

Table 1. Gender and age distribution of the students of the three batches

Of the participants, 202 (67.3%) were not residents of the city where the medical school is located, while 98 (32.7%) were from the city and suburbs. One hundred and thirty-one (43.7%) resided in the faculty hostels while 109 (36.3%) and 60 (20%) stayed in rented accommodation and in their own homes respectively (Table 2).

 

Batch

Residence
Home Rented rooms Hostel
Male, N(%) Female, N(%) Male, N(%) Female, N(%) Male, N(%) Female, N(%)
1st year 9 (27.3%) 15 (22.4%) 15 (45.5%) 46 (68.7%) 9 (27.3%) 6 (9%)
3rd year 2 (6.3%) 11 (16.2%) 9 (28.1%) 30 (44.1%) 21 (65.6%) 27 (39.7%)
Final year 9 (19.6%) 14 (25.9%) 8 (17.4%) 1 (1.9%) 29 (63%) 39 (72.2%)

Table 2. Current residence of the students according to their gender

B. Prevalence of medical student depression

Overall, 57 (19%) of students had a depression score more than 17 in the BDI. Of them, 25 (43.86%) were male and 32 (56.14%) were female. Depression was most prevalent among 1st-year students followed by the final year and 3rd-year students, respectively. However, the only statistically significant difference between these years was seen between the 1st year and 3rd year students (Chi-square test, p=0.028) (Table 3).

Batch Depression Total
Male,

N(%)

Female, N(%)
1st year 10 (30.3%) 15 (22.4%) 25 (25%)
3rd year 6 (18.8%) 6 (8.8%) 12 (12%)
Final year 9 (19.6%) 11 (20.4%) 20 (20%)

Table 3. Depression rates in three batches

Depression status was then categorized according to the BDI scale (Table 4). Of the 2 students who reported extreme depression, one was from the 1st year and the other was from the final year.

Total score Levels of Depression No of students
1-10 These ups and downs are considered normal 181 (60.31%)
11-16 Mild mood disturbance 62 (20.67%)
17-20 Borderline clinical depression 20 (6.67%)
21-30 Moderate depression 26 (8.67%)
31-40 Severe depression 9 (3%)
Over 40 Extreme depression 2 (0.68%)

Table 4. Level of depression according to BDI scale

There was a statistically significant difference in the BDI scores between the students who’ve had positive, negative and no major life events (Kruskal-Wallis test, p=0.001). There was a statistically significant difference between the BDI scores between students with no major life events and negative life events (Mann-Whitney test, U=2561.5, p<0.0001) and between students who’ve had positive vs negative life events (Mann-Whitney test, U=444, p=0.009). There was no statistically significant difference between positive vs no major life events (p=0.8). Students who did not engage in extracurricular activities had a higher likelihood of being depressed (P<0.05). There was no statistically significant difference between residential status or a family history of mental illness with depression among students (Table 5).

Variable Total No. of respondents Depression P value
n (%)
Life events in last 6 months
· No 226 (75.4%) 35 (15.5%) P=0.08

 

P=0.09

· Yes,Positive 37 (12.3%) 7 (18.9%)
· Yes,Negative 37 (12.3%) 15 (39.5%)
Residential status
· Home 60 (20%) 8 (13.3%) P=0.178

 

P=0.134

· Rented rooms 109 (36.3%) 24 (22%)
· Hostel 131 (43.7%) 25 (19.1%)
Number of siblings
· 0 29 (9.7%) 2 (6.9%)
· 1-2 217 (72.4%) 42 (19.3%)
· 3-5 49 (16.4%) 12 (24.5%)
· >5 3 (1%) 0
Family history of mental illness
· Yes 12 (4%) 4 (33.3%) P=0.958
· No 288 (96%) 53 (18.4%)
Extracurricular activities
· Yes 118 (39.3%) 14 (11.9%) P=0.000
· No 182 (60.7%) 43 (23.6%)

Table 5. Rate of self-reported depression among students and their social charasteristics

A logistic regression analysis was performed to identify independent risk and protective factors for depression. The logistic regression model was statistically significant (χ2 (3) = 14.5, p = 0.002). However, the model only explained 10.9% (Nagelkerke R2) of the variance in the presence of depression and correctly classified 82.1% of cases. Students who were not originally from the city were 2.3 times more likely to have depression. Students who had an adverse life event also had a risk of depression twice that of other students who did not. Participation in extracurricular activities was associated with a 60% less chance of depression.

IV. DISCUSSION

Medical students worldwide have a higher prevalence of depressive disorders compared to other undergraduates (Dyrbye, Thomas, & Shanafelt, 2006). Medical training aims to prepare graduates for a personally rewarding career (Dyrbye et al., 2006). However, medical students also have high academic expectations and are expected to master an extensive range of knowledge and skills in a highly competitive environment. Therefore, it is understandable that medical students are the most distressed group of students among all undergraduates (Sherina et al., 2004).

Studies on medical students in other parts of the world have also identified a high frequency of depression (Moffat, McConnachie, Ross, & Morrison, 2004; Rab et al., 2008). In a cross-sectional study done in Karachi, Pakistan, Inam, Saqib & Alam (2003) identified that 60% of students had anxiety and depression. Although there is a consensus that medical students have higher scores for depression, there is controversy about how these scores change over the undergraduate studentship. Several studies have shown that students may be the most depressed at the beginning of their course (Inam et al., 2003) – prevalence of depression higher among 1st and 2nd year students; depression highest among the 2nd year students (Ahmed et al., 2009). However, in a recent meta-analysis Rotenstein (2016) failed to identify a difference between pre-clinical and clinical students.

Overall, 19% of the respondents in our sample were depressed by accepted BDI cutoffs. Compared to studies done in the region using BDI, this is similar to China (19% depression) (Pan et al., 2016) while lower than the results of both Hong Kong (48%)(Chan, 1991) and India (45%) (Gupta & Basak, 2013). However, both Chan (1991) and Gupta and Basak (2013) used a lower cut-off score to diagnose depression. We also observed that the rate of depression among our participants is higher than the 6.6% prevalence of depression in general population of Sri Lanka (Ball et al., 2010).

We found higher depression rates among female students than their male colleagues (56.14% vs 43.86%, P>0.05 ). A similar pattern was seen in other many previous studies (Dyrbye et al., 2006; Tjia, Givens, & Shea, 2005). However, a recent meta-analysis did not find the sex to significantly affect the depression scores (Rotenstein et al., 2016).

In addition, 1st-year students were more depressed than both final year and 3rd-year students. The same observation was met by other researchers as well (Tjia et al., 2005; Rab et al., 2008) and this may be due to the transition to the new environment (Inam et al., 2003; Rab et al., 2008), the new academic demands or getting mediocre results at exams (Rosenthal & Okie, 2005). Rab et al. (2008) reported that depression was commoner in students with a history of negative life events in the recent past. In addition, those staying in university hostels were more depressed than those living in their own homes. These findings were comparable with our results as well. Multivariate analysis, however, did not find these factors to be independently associated with depression.

We found that students who did not engage in any extracurricular activities were significantly depressed than those who did. Even though the cross-sectional nature of our study prevents us from establishing a causality, participation of extra-curricular activities have been found to reduce school drop-out (Mahoney & Cairns, 1997), lowering substance abuse and improving attitudes towards learning (Darling, 2005), improving school satisfaction (Gilman, 2001) and improve academic performance (Silliker & Quirk, 1997). Therefore, we feel participation in extra-curricular activities should be promoted among university students.

The main limitation of our study was that we did not include other batches apart from 1st, 3rd and final year students due to the limited time factor. Also, the study was done in students from one medical school only. Furthermore, the study variables were measured by a self-reported questionnaire which does not allow diagnostic conclusions since some students will not reveal their psychiatric issues. Previous authors have consistently demonstrated a higher overall depression among the western population. However, the data is sparse for South Asia in this regard. Therefore, it was difficult to compare our findings with the data from the south Asian region. A longitudinal study would provide more robust data on how depression scores change as students advance in their training and we are designing such a study.

However, we feel that mechanisms should be established to identify vulnerable students early in their training period and to provide them support. This can be based on the risk factors identified in this study as well as others (Dwyer & Cummings, 2001). In addition, carefully designed curricula aimed at reducing information overload might be helpful in preventing distress among undergraduates arising from the demands of tertiary education.

Simple interventions like physical exercise have been found to reduce depression (Lawlor & Hopker, 2001) and can be easily implemented in Sri Lanka. Steinhardt and Dolbier (2008) reports of successful use of resilience intervention in decreasing symptoms of academic stress. A similar 4-week program could be incorporated into the introductory course all medical undergraduates follow prior to the commencement of the academic program.

V. CONCLUSION

Medical students had a higher prevalence of depression than the general population. Engaging in extracurricular activities was associated with a less chance of depression. To avoid the repercussions, teachers and administrators must explore the reasons, consequences and answers.

Notes on Contributors

Dakshitha W., Isuru S. and Dharmabandhu N. S. designed the study. Dakshitha P. W. and Isuru S. A. collected the data. All authors were involved in data analysis, drafting the manuscript and approving the final manuscript.

Ethical Approval

Ethical approval for the study was obtained from the ethics review committee of the National Hospital of Sri Lanka.

Funding

There is no funding involved for this paper.

Declaration of Interest

None of the authors have any competing interests.

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*Dharmabandhu N Samarasekera
Professor of Surgery and Senior Professor,
Faculty of Medicine, University of Colombo
Address of institution: Department of Surgery,
Faculty of Medicine, P.O. Box 271,
Kynsey Road, Colombo 8, Sri Lanka
Tel: 94 – 112671846
Fax: 94 – 112671846
Email: samarasekera58@yahoo.co.uk

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