To examine depression and suicidal behaviour and associated factors in a sample of medical students in Portugal.
We conducted a cross-sectional study design of 456 native Portuguese medical students from the 4th and 5th year at the University of Lisbon. Participants answered a self-report survey including questions on demographic and clinical variables. Statistical analyses were conducted using the chi-square test, with a Monte Carlo simulation when appropriate.
Depression among medical students was 6.1% (n=28) and suicidal behaviour 3.9% (n=18). Higher depression scores were noted in female medical students (χ2=4.870,df=2,p=0.027), students who lived alone (χ2=8.491,df=3,p=0.037), those with poor physical health (χ2=48.269,df=2,p<0.001), with poor economic status (χ2=8.579,df=2,p=0.014), students with a psychiatric diagnosis (χ2=44.846,df=1,p=0.009), students with a family history of psychiatric disorders (χ2=5.284,df=1,p=0.022) and students with high levels of anxiety (χ2=104.8, df=3, p<0.001). Depression scores were also higher in students with suicidal ideation (χ2=85.0,df=1,p<0.001), suicidal plan (χ2=47.9,df=1,p<0.001) and suicidal attempt (χ2=19.2,df=1,p<0.001). Suicidal behaviour was higher in medical students who lived alone (χ2=16.936,df=3,p=0.001), who had poor physical health (χ2=18,929,df=2,p=0.001), poor economic status (χ2=9.181,df=2,p=0.01), who are/were in psychopharmacology treatment (χ2=30.108,df =1,p<0.001), and who had high alcohol use (χ2=7.547,df=2,p=0.023), severe depression (χ2=88.875,df=3,p<0.001) and high anxiety levels (χ2=50.343,df=3,p<0.001). The results also revealed that there were no differences between students in the 4th and 5th years of medical school regarding rate of depression and suicidal behaviour.
Since depression and suicidal behaviour are mental health problems affecting a significant proportion of medical students, medical schools should implement programs that promote mental health wellness, physical health and economic status between other factors.
In addition to medical doctors, medical students have higher rates of depression and suicidal behaviour compared to age-matched general population.
Medical students have academic, psychological and existential stressors. Additionally, school selection may favour individuals with perfectionism, altruist traits and self-critical or performance-based self-esteem, which predispose individuals to depression and suicidal behaviour.
Major depression is the most significant antecedent risk factor for suicide, but other factors, including other mood disorders, substance abuse, hopelessness, adverse life events, personal history of physical or sexual abuse, and family history of suicide, often play a role.
Studies have found that inadequate treatment is significant amongst depressive medical students.
The aims of the present study were: 1) to determine the rates of depression and suicidal behaviour in a sample of 4th - and 5th -year of native Portuguese medical students; 2) to compare rate of depression and suicidal behaviour to general population and with medical students from other countries; 3) to investigate the relationships between personal, epidemiological and clinical factors and depression and suicidal behaviour in medical students. We hypothesised that the rate of depression and suicidal behaviour in medical students would be similar to or higher than that of the general Portuguese population. Our hypothesis is that female students, students who lived alone, students with poor economic status, students with poor physical health, students with a personal or family psychiatric history, and students with high levels of anxiety and substance and alcohol use have higher prevalence of depression. We hypothesised that male students, students who lived alone, students with poor economic status, students with poor physical health and students with high levels of depression, alcohol use and anxiety have higher rate of suicidal behaviour. We also hypothesised that medical students in their 4th year of medical school have a higher prevalence of depression and suicidal behaviour than 5th year medical students as a result of the stress related to beginning of their clinical years.
A cross-sectional survey was conducted in 4th and 5th year native Portuguese medical students of Faculty of Medicine, University of Lisbon, in Portugal, between October 2012 and July 2013. Survey responses were anonymous. Non-Portuguese medical students were excluded from the survey.
The study was approved by the Ethics Committee of Faculty of Medicine, University of Lisbon. Questionnaires and consent forms were given to each student. The questionnaires were distributed during psychiatric lessons, which have an approximate duration of 120 minutes. We surveyed 10 classes during the 10-month duration of the research, three from the 4th year and seven from the 5th year of medical school. We used the last 20 minutes of each lesson to administer the survey. Psychiatric lessons are mandatory for all 4th and 5th year medical students. Student participation in our study was voluntary, and those who agreed to participate signed the consent form, completed the survey and submitted it separately to ensure confidentiality. Students who refused to participate submitted incomplete surveys in the same manner.
A paper questionnaire was used. We thought that a paper questionnaire rather than an online questionnaire warranted a higher response rate without significantly compromising confidentiality and anonymity. The questionnaire included six sections with a total of 95 questions: personal data (25 questions), substance use (one question), suicidal behaviour (three questions), alcohol use (25 questions), depression (21 questions) and anxiety (20 questions). The questionnaires were printed in self-administered forms based on the evidence that the self-report responses of potentially embarrassing behaviours (e.g., suicidal behaviour) were higher in self-administered questionnaires than in an interviewer-administered format.
The Beck Depression Inventory (BDI) was used to assess depressive symptoms.
Variable | N | % | |
---|---|---|---|
Gender | |||
Male | 152 | 33.3 | |
Female | 304 | 66.7 | |
Age (Years), M = 23.35 (SD = 3.02) | |||
20 or 21 | 40 | 8.8 | |
22 | 184 | 40.4 | |
23 | 139 | 30.5 | |
24 or 25 | 44 | 9.6 | |
26 to 30 | 29 | 6.4 | |
more than 30 | 20 | 4.4 | |
Year in Medical School | |||
Fourth | 133 | 29.2 | |
Fifth | 323 | 70.8 | |
Race | |||
Caucasian | 453 | 99.3 | |
Black | 1 | 0.2 | |
Indian | 2 | 0.4 | |
Civil Status | |||
Single | 422 | 92.5 | |
Married | 32 | 7.0 | |
Divorced | 1 | 0.2 | |
Widow | 1 | 0.2 | |
Household | |||
Alone | 74 | 16.2 | |
Original family | 208 | 45.6 | |
Girl/boyfriend/ husband/wife | 36 | 7.9 | |
Friends/ colleagues | 138 | 30.3 | |
Smoker | |||
No | 398 | 87.3 | |
Yes | 58 | 12.7 | |
Previous University Degree | |||
No | 408 | 89.5 | |
Yes | 48 | 10.5 | |
Physical Health | |||
Poor | 7 | 1.5 | |
Average | 114 | 25.0 | |
Good | 335 | 73.5 | |
Economic Status | |||
Poor | 11 | 2.4 | |
Average | 204 | 44.8 | |
Good | 240 | 52.7 | |
Belief in God | |||
No | 198 | 43.4 | |
Yes | 258 | 56.6 | |
Speciality intend to choose | |||
Medical specialties | 148 | 32.5 | |
Surgical specialties | 109 | 23.9 | |
Psychiatry | 11 | 2.4 | |
General Practitioner | 36 | 7.9 | |
Paediatrics | 46 | 10.1 | |
Obstetrics and Gynaecology | 37 | 8.1 | |
Unknown | 50 | 11.0 | |
Ophthalmology/ Otorhinolaryngology(ORL) | 15 | 3.3 | |
Others | 4 | 0.9 | |
Total | 456 | 100 |
Suicidal behaviour was assessed using a questionnaire of dichotomous questions (yes/no). Suicidal behaviour was defined as suicidal ideation (“During medical school, have you ever seriously thought about committing suicide?”), suicide plan (“During medical school, have you ever made a plan for committing suicide?”) and/or suicide attempt (“During medical school, have you ever attempted suicide?”). Students were considered to have suicidal behaviour if one of the answers was positive. This assessment was based on inventories developed by Meehan and colleagues and Lee and colleagues, which were used in other studies intended to assess suicidality in medical students and in other epidemiologic studies.
This questionnaire included questions about demographic characteristics, trichotomous questions for physical health: “What is your general level of physical health?” and economic status: “What is your general level of economic status?” This questionnaire also included an open question about future specialty intent: “What specialty do you think you will choose?” This section included questions about personal and familial psychiatric history, namely, past/current personal psychiatric diagnosis, past/current psychopharmacological treatment, history of personal psychiatric admission, and family psychiatric diagnosis. There was also a question asking if there was a suicide attempt in a close personal relationship, followed by a question identifying the relationship. Family history of psychiatric disorder and suicidal behaviour are well known risk factors to psychiatric disorders and suicidal behaviour.
For the evaluation of anxiety symptoms, the Zung Self-Rating Anxiety Scale (SAS) was used.
Alcohol use was evaluated using The Michigan Alcoholism Screening Test (MAST), which has been internationally validated for the assessment of alcohol abuse.
Substance use was assessed using the multi-choice question “During the last 12 months have you used the following substance(s)?” The answer included five options: cannabis/marijuana, cocaine, heroin, stimulants or amphetamines and sedatives or hypnotics not prescribed by a doctor.
Variable | Depression BDI≥14 | p-value | ||
---|---|---|---|---|
N | % | |||
Gender | ||||
Male | 4 | 2.6 | 0.027* | |
Female | 24 | 7.9 | ||
Age Year | ||||
20 or 21 | 2 | 5.0 | 0.190 | |
22 | 15 | 8.2 | ||
23 | 3 | 2.2 | ||
24 or 25 | 5 | 11.4 | ||
26 to 30 | 2 | 6.9 | ||
more than 30 | 1 | 5.0 | ||
Year in Medical School | ||||
Fourth | 7 | 5.3 | 0.617 | |
Fifth | 21 | 6.5 | ||
Civil Status | ||||
Single | 27 | 6.4 | 0.751 | |
Married | 1 | 3.1 | ||
Divorced | 0 | 0.0 | ||
Widow | 0 | 0.0 | ||
Household | ||||
Alone | 9 | 12.2 | 0.037* | |
Original family | 9 | 4.3 | ||
Girl/boyfriend/husband/wife | 0 | 0.0 | ||
Friends/ colleagues | 10 | 7.2 | ||
Smoker | ||||
No | 24 | 6.0 | 0.797 | |
Yes | 4 | 6.9 | ||
Physical Health | ||||
Poor | 4 | 57.1 | < 0.001† | |
Average | 15 | 13.2 | ||
Good | 9 | 2.7 | ||
Economic Status | ||||
Poor | 2 | 18.2 | 0.014* | |
Average | 18 | 8.8 | ||
Good | 8 | 3.3 | ||
Belief in God | ||||
No | 12 | 6.1 | 0.950 | |
Yes | 16 | 6.2 | ||
Specialty Intend To Choose | ||||
Medical | 7 | 4.7 | 0.416 | |
Surgical | 4 | 3.7 | ||
Psychiatry | 1 | 9.1 | ||
GP | 3 | 8.3 | ||
Paediatrics | 5 | 10.9 | ||
Obstetrics | 1 | 2.7 | ||
Unknown | 6 | 12.0 | ||
Ophthalmology/ORL | 1 | 6.7 | ||
Psychiatric Disorder | ||||
No | 13 | 3.3 | < 0.001† | |
Yes | 15 | 25.9 | ||
Psychiatry Diagnosis | ||||
Depressive Disorder | 7 | 19.4 | 0.009† | |
Anxiety Disorder | 2 | 15.4 | ||
Other | 4 | 57.1 | ||
Bipolar Disorder | 2 | 100 | ||
Current/Past Psychopharmacology | ||||
No | 15 | 3.7 | < 0.001† | |
Yes | 13 | 26.5 |
*Statistically significant at p<0.05. †Statistically significant at p<0.01; BDI: Beck Depression Inventory.
Data were analysed using IBM SPSS (Statistical Package for the Social Sciences) Statistics software version 21. Prevalence and summary statistics were calculated on all variables of interest. BDI, SAS and MAST scale scores were collapsed into respective categories mentioned. Continuous variables are shown as the mean and standard deviation (SD). Using the chi-square test (5% level of significance), we compared the prevalence of depression and suicidal behaviour by several socio-demographic and clinical variables. When more than 20% of cells showed an expected frequency of less than 5, as the maximum value can only be 20%, the chi-square test with the Monte Carlo simulation was used. This was based on generating random samples, which overcome the problem of classes with few or no observations. In these cases, the p-value analysed was obtained by the Monte Carlo simulation.
A total of 456 of the 459 surveyed medical students participated in this study (response rate: 99.3%). The total number of medical students enrolled in the 4th and 5th years of medical school was 767, approximately 50 students in each class.
A total of 58 (12.7%) students had a psychiatric diagnosis, 36 (7.9%) had a depressive disorder, 13 (2.9%) had anxiety disorder, two (0.4%) had bipolar disorder, and seven (1.5%) had another psychiatric diagnosis (eating disorders, OCD, etc.). Seven (1.5%) participants had a previous psychiatric admission. Forty-nine (11%) of the medical students were or are in psychopharmacologic treatment.
In the sample, 168 (37%) students had a psychiatric family history, and 51 (11.2%) had a suicide attempt in a close relation. Twelve (2.6%) medical students had a suicide attempt in parents, two (0.4%) in a sister/brother, four (0.9%) in a boy/girlfriend, five (1.1%) in a friend and 28 (6.1%) in another close relation.
The overall rate of depression was 6.1%, with mild depression (14≤BDI≤19) found in 14 (3.1%) of the students and moderate depression (20≤BDI≤28) found in 11 (2.4%). Three (0.7%) of the students had BDI scores ≥29, placing them in the severe depression category. Four hundred and twenty-eight (93.9%) medical students had BDI scores in the range of 0 to 13, indicating no or minimal depression.
Depression (BDI score ≥14) was higher in female medical students (χ2= 4.870, df=2, p=0.027), in those students who lived alone (χ2=8.491, df=3, p=0.037), in those with poor physical health (χ2=48.269, df=2, p<0.001) and in those with poor economic status (χ2=8.579, df=2, p=0.014). A higher prevalence of depression was also found in students who had a psychiatric diagnosis (χ2=44.846, df=1, p=0.009), who have current or past psychopharmacological treatment (χ2=39.604, df=1, p<0.001), who have been diagnosed with bipolar disorder (χ2=10.823, df=3, p=0.009) and who have a psychiatric family history (χ2=5.284, df=1, p=0.022).
The percentage of depression was higher for the category “extreme anxiety levels”, followed by “marked to severe anxiety levels” and lower for the category “normal range”, as measured by SAS (χ2=104.8, df=3, p<0.001). Depression prevalence was higher in students with suicidal ideation (χ2=85.0, df=1, p<0.001), suicide plan (χ2=47.9, df=1, p<0.001) or suicide attempt (χ2=19.2, df=1, p<0.001).
Variable | Suicidal Behaviour | p-value | ||
---|---|---|---|---|
N | % | |||
Gender | ||||
Male | 7 | 4.6 | 0.610 | |
Female | 11 | 3.6 | ||
Age Years | ||||
20 or 21 | 1 | 2.5 | 0.927 | |
22 | 7 | 3.8 | ||
23 | 7 | 5.0 | ||
24 or 25 | 2 | 4.5 | ||
26 to 30 | 1 | 3.4 | ||
more than 30 | 0 | 0.0 | ||
Year in Medical School | ||||
Fourth | 4 | 3.0 | 0.508 | |
Fifth | 14 | 4.3 | ||
Civil Status | ||||
Single | 17 | 4.0 | 0.986 | |
Married | 1 | 3.1 | ||
Divorced | 0 | 0.0 | ||
Widow | 0 | 0.0 | ||
Household | ||||
Alone | 9 | 12.2 | 0.001† | |
Original Family | 4 | 1.9 | ||
Girl/boyfriend/husband/wife | 0 | 0.0 | ||
Friends/colleagues | 5 | 3.6 | ||
Smoker | ||||
No | 18 | 4.1 | 0.217 | |
Yes | 0 | 0.0 | ||
Previous University Degree | ||||
No | 18 | 4.4 | 0.138 | |
Yes | 0 | 0.0 | ||
Physical Health | ||||
Poor | 2 | 28.6 | 0.001† | |
Average | 9 | 7.9 | ||
Good | 7 | 2.1 | ||
Economic Status | ||||
Poor | 2 | 18.2 | 0.010* | |
Average | 11 | 5.4 | ||
Good | 5 | 2.1 | ||
Belief in God | ||||
No | 9 | 4.5 | 0.566 | |
Yes | 9 | 3.5 | ||
Specialty Intend to Choose | ||||
Medical | 5 | 3.4 | 0.446 | |
Surgical | 2 | 1.8 | ||
Psychiatry | 1 | 9.1 | ||
GP | 2 | 5.6 | ||
Paediatrics | 3 | 6.5 | ||
Obstetrics | 2 | 5.4 | ||
Unknown | 1 | 2.0 | ||
Ophthalmology/ORL | 2 | 13.3 | ||
Others | 0 | 0.0 |
*Statistically significant at p<0.05. †Statistically significant at pp<0.01.
The rate of suicidal behaviour during medical school was 3.9% in the sample. Seventeen (3.7%) students answered yes to the question about suicidal ideation, five (1.1%) answered yes to the suicide plan question and three (0.7%) answered yes to the suicide attempt question. Medication overdose was the method used in the three medical students who had attempted suicide. Suicidal behaviour was higher in students who had poor physical health (χ2=18,929, df=2, p=0.001) or a poor economic status (χ2=9.181, df=2, p=0.01) and in students who lived alone (χ2=16.936, df=3, p=0.001). Suicidal behaviour was also higher in those participants who had a psychiatric diagnosis (χ2=23.461, df=1, p<0.001), who have current/past psychopharmacology treatment (χ2=30.108, df =1, p<0.001) and who have been diagnosed with bipolar disorder (χ2=13.321, df=3, p=0.008). The prevalence of suicidal behaviour was higher in students with a family history of psychiatric disorder (5.4% versus 3.1%), but the differences were not statistically significant (χ2 = 1.394, df=3, p=0.238).
Suicidal behaviour was higher for the category “alcoholism” and lower for the category “non-alcoholism” in the MAST scale (χ2=7.547, df=2, p=0.023). The percentage of suicidal behaviour was also higher for the category “severe depression” and lower for the category “no or minimal depression” in the BDI score (χ2=88.875, df=3, p<0.001). In regards to anxiety symptoms measured by SAS the percentage of suicidal behaviour was higher for the category “marked to severe anxiety levels” and lower for the category “normal range” (χ2=50.343, df=3, p<0.001). Because there is only one case in the extreme category, its comparison is not relevant (
Category | Suicidal Behaviour | p-value | ||
---|---|---|---|---|
N | % | |||
Alcohol Use (MAST score) | ||||
No apparent problem | 8 | 2.4 | 0.023* | |
Suggestive of alcoholism | 4 | 7.4 | ||
Alcoholism | 6 | 8.5 | ||
Depression (Beck Depression Inventory Score) | ||||
No or minimal depression | 8 | 1.9 | < 0.001† | |
Mild depression | 4 | 28.6 | ||
Moderate depression | 4 | 36.4 | ||
Severe depression | 2 | 66.7 | ||
Anxiety (Zung Self-Rating Anxiety Scale Score) | ||||
Mild to moderate anxiety levels | 6 | 7.4 | ||
Marked to severe anxiety levels | 4 | 50.0 | ||
Extreme anxiety levels | 0 | 0.0 | ||
Normal range | 8 | 2.2 | < 0.001† |
*Statistically significant at p<0.05. †Statistically significant at p<0.01.
The SAS results revealed a mean value score of 38.12 (dispersion of 21.5%). In the sample, 366 (80.3%) of the participants had a score in the normal range (score 20-44), 81 (17.8%) had mild to moderate anxiety levels (score 45-59), eight (1.8%) had marked to severe anxiety levels (score 60-74), and one (0.2%) had an extreme anxiety level (score 75-80).
Three hundred and thirty-one (72.6%) of the respondents had a MAST score ≤3, placing them in the non-alcoholic group. Fifty-four (11.8%) students had a MAST score of 4, suggestive of alcoholism, and 71 (15.6%) had a MAST score ≥5, indicative of alcoholism.
In the sample, 143 (31%) students admitted to substance use in the last 12 months. Of these, 92 (64%) used cannabis, 37 (27%) used sedatives not prescribed by a doctor, three (2.1%) used cannabis and stimulants, three (2.1%) used cocaine and sedatives, three (2.1%) used cannabis and sedatives, two (1.4%) used heroin, one (0.7%) used stimulants, and one (0.7%) used cannabis, cocaine and stimulants.
The results also revealed that there were no differences between students in the 4th and 5th years of medical school regarding alcoholism (p=0.944), depression (p=0.672), anxiety (p=0.897) and suicidal behaviour (p=0.508).
This is the first Portuguese study investigating depression and suicidal behaviour in medical students. Even in Europe, this is one of the few studies that address suicidal behaviour in medical students.
The response rate of 99.3% renders an adequate sample of the population studied. We think that completing the questionnaires during classes contributed to the high response rate obtained.
Previous studies showed that depression prevalence for medical students is similar or higher than that for the general population.
Previous studies in other countries that used BDI to measure depression in medical students yielded similar results (5-35.1%) to the current research.
Depression and suicidal behaviour are determined by multiple factors, including personal, biological and genetic factors, as well as social and cultural factors.
Published research shows that, on average, the lifetime prevalence of depression is higher in high-income than in low-to middle-income countries.
Another significant finding of this study was a gender difference regarding the association with depression, where female students reported a significantly higher prevalence of depression than male students. This gender variation in the depressive status in medical students could be a reflection of the usual trend of higher prevalence of depression in females in the general population.
Certain risk factors are found to be widely associated with depression in the general population, such as smoking, economic status and psychiatric diagnosis.
Anxiety symptoms are frequently observed with depression,
How the depression rate changes over the years of medical school is not completely clear. Some longitudinal studies suggested that the depression rate is high during the first year, followed by a gradual decline during the later years of medical school.
Suicidal behaviour (suicidal ideation, suicide plan and/or suicide attempts) is a precursor to the final outcome of suicide, which may be preventable if the signs are detected early.
There is a considerable cross-national variability in the prevalence of suicidal behaviours in the general population.
The current study found higher rates of suicidal behaviour in medical students who lived alone, who had poor physical health and who had a poor economic status. Contrary to the general population, where it is well demonstrated that females are overrepresented in nonfatal suicidal behaviour and men in complete suicide, which is known as the “gender paradox of suicidal behaviour”,
As expected, suicidal behaviour was higher in students in the categories suggestive of alcoholism or alcoholism on the MAST scale, depressive categories on the BDI and marked or severe anxiety level categories in the SAS. This suggests that suicidal behaviour is present in students who have clinically relevant mental disorders. In our sample, suicidal behaviour was higher in conjunction with bipolar disorder, followed by depressive disorders and other psychiatric disorders. This is concordant with previous data in the general population indicating that affective disorders are the leading mental disorders associated with suicide.
One interesting finding of the current study was that in spite of the lack of statistical significance, suicidal behaviour was higher in medical students who intend to choose psychiatry and ophthalmology/otorhinolaryngology in the future. This is concordant with the known data that among physicians, psychiatrists are considered to be at a greater risk of suicide, followed by ophthalmologists and anaesthesiologists.
Comparisons between the prevalence of depression and suicidal behaviour in Portuguese medical students and other Portuguese university students are difficult due to the paucity of studies in both populations. There are no published studies about depression or suicidal behaviour in Portuguese non-medical university students. Studies from other countries have found high rates of depression in other university students, namely, business, nursing and pharmacy students.
Medical students are future doctors and need to be protected from preventable causes of morbidity and mortality, such as depression or suicidal behaviour. Medical schools should have a system to identify students who are currently depressed or suicidal. Schools should also work to identify students at risk of future mental health disorders. Some reports mention simple, brief tools to identify medical students who are at risk of mental disorders.
It is recommended that medical schools implement programs and curriculum modifications to contribute to lowering mental health problems. However, it is unrealistic to completely eliminate factors (e.g., stress) associated with mental health problems. All medical schools should implement student wellness programs to promote and provide resources for healthy living mainly in the 1st year and probably recycle them in the beginning of the clinical years of medical school. These programs could include curricular changes, stress management, psychoeducation, coping strategies, mindfulness programs, individual counselling and managing financial stressors and alcohol use.
Finally, we could speculate that by promoting mental health in medical students and treating those who need it, we are also diminishing the known high rates of suicide in medical doctors.
This cross-sectional study had several methodological limitations. Student concerns about the confidentiality of a study conducted by members of their faculty could have influenced students´ responses. Additionally, a cross-sectional design of the study was used rather than a longitudinal one, which is more compelling to establish causality between the associations found. Another limitation is that the study was conducted at a single institution. The use of self-reported measures rather than clinical structured interviews could also be considered a limitation. Depending on personality traits, students may exaggerate or ignore their symptoms. The occurrence of recall bias and reporting errors is also possible. However, the survey design ensured anonymity, and students completed the questionnaire voluntarily, which should have promoted honest responses. This also permits access to a larger sample of participants, which constitutes a clear advantage. Furthermore, the current study did not control the time of completing questionnaires by medical students. For example, we could speculate that near exam periods, scores on the anxiety scale would be higher. Finally, the use of the non-validated scales to some variables, namely, to physical health, economic status and substance use was also a limitation.
To overcome some of the above-mentioned limitations, future research should focus on longitudinal research and involve staff not belonging to the medical school in order to provide more robust confidentiality to medical students. Clarifying some of our non-significant findings will also be important, namely, the relationships between depression and alcoholism, gender and suicidal behaviour and speciality and suicidal behaviour.
This is the first study of depression and suicidal behaviour in a sample of Portuguese medical students. This study confirmed that depression and suicidal behaviour are mental health problems affecting a significant proportion of medical students, but at a rate similar to the general Portuguese population. Similar to the general Portuguese population, our research found rates of depression among medical students in the lower limit of published studies in other countries. Depression was higher in female medical students, students who lived alone, students with poor physical health, students with a poor economic status, students with a psychiatric diagnosis, students with a family history of psychiatric problems and students with high levels of anxiety. Depression was also higher in students with suicidal ideation, suicide plans or suicide attempt.
We found quite alarming rates regarding suicidal behaviour, namely suicide attempts. Suicidal behaviour was higher in medical students who lived alone, students who had poor physical health, students who had a poor economic status, students who are/were in psychopharmacology treatment and students who had high alcohol use, severe depression and high anxiety levels. Medical schools should implement programs that promote mental health wellness, physical health and economy economic status between other modifiable factors associated.
We would like to thank all medical students who participated and completed the survey.
The authors declare that they have no conflict of interest.