Article Information
Corresponding author : Rampukar Sah

Article Type : Research Article

Volume : 5

Issue : 5

Received Date : 13 Feb ,2024


Accepted Date : 19 Mar ,2024

Published Date : 25 Mar ,2024


DOI : https://doi.org/10.38207/JCMPHR/2024/MAR05050541
Citation & Copyright
Citation: Sah R (2024) Stress, Anxiety and Depression and Associated Risk Factors Among Postgraduate Medical Students In Tertiary Hospital In Kathmandu. J Comm Med and Pub Health Rep 5(05): https://doi.org/10.38207/JCMPHR/2024/MAR05050541

Copyright: © 2024 Rampukar Sah. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
  Stress, Anxiety and Depression and Associated Risk Factors Among Postgraduate Medical Students In Tertiary Hospital In Kathmandu

Rampukar Sah*

Clinical Psychologist, Child and Adolescent Psychiatry Unit, Kanti Children’s Hospital

*Corresponding Author: Rampukar Sah, Clinical Psychologist, Child and Adolescent Psychiatry Unit, Kanti Children’s Hospital.

Abstract
Background
: Medical education is highly stressful, stepping into a new environment, and a huge course syllabus which has to be mastered in a short period of time, besides continuous assessments, examinations, and other social and personal issues make
medical student prone to develop negative emotional symptoms.

Objective: This study aims to assess the level of stress, level of anxiety, and level of depression and its associated risk factors.

Materials and Methods: A cross-sectional study was conducted on 198 medical students from the 1st of January 2016 to the 1st of January 2017 at Tribhuvan University Teaching Hospital (TUTH), Kathmandu. Semi structured proforma and Depression, Anxiety and stress Scale - 21 Items (DASS-21) were used to collect the data. Ethical approval was sought from the Institutional Review Board, Institute of Medicine, Tribhuvan University Teaching Hospital.

Results: The study reported 32.8% (N=65) of the participants had significant level of stress and anxiety, whereas 34.8 % (N=69) reported depression of mild to extreme level. Study reported that anxiety increases significantly with increase in intake of alcohol. Study showed that female had higher Stress and anxiety than male. 

Conclusion: Overall findings suggest that almost one-third of medical students reported significant symptoms of stress, anxiety, and depression. Stress identification and its management should not be overlooked by medical students to ensure their well-being and better mental health. 

Keywords: Anxiety, Depression, Postgraduate medical students, Stress

Introduction
Health professionals have a huge responsibility in providing proper health services. However, findings from studies of medical students and young doctors suggest that their own health care is poor [1]. Reports show high rate of mental health problem including depression, and anxiety in health professionals [2]. According Ministry of health and population of Nepal, Nepal was found to have 0.17 doctors per 1,000/population and 0.50 nurses per 1,000/population. This represents 0.67 doctors and nurses per1,000/population, which is significantly less than the WHO recommendation of 2.3 doctors, nurses and midwives per 1,000/population. The demand is higher for medical professionals, whereas their numbers are low, which increases their level of stress, anxiety and resulting into depression [3,4]. Medical education is highly stressful, stepping into a new environment, huge course syllabus which has to be mastered in a short period of time besides continuous assessments, examinations and other social and personal issues makes medical student prone to develop negative emotional symptoms [9]. The prevalence of anxiety disorder was 35.1% found in a Pakistani and 39.9% from Indian study [5,6]. Studies from western world reports prevalence rate of anxiety in the range of 14–24% for health professionals. [7,19] Whereas eastern countries like Pakistan, Malaysia and Singapore shows prevalence of 46.1%, 41.9% and 57.0% of anxiety and depressive disorder [8,9,10]. Patti et al reported that 37.0% of the medical professional has the symptoms of anxiety [11]. The prevalence of depression of medical students were 35.1% in a Pakistani and 39.9% from Indian study [5,6]. Prevalence of stress was 27.0% in medical students in a study from turkey. However, study from Nepal had 73.0% of prevalence of stress, Brazil had 40.2%, and Iran had 44.0% and Malaysia had41.9% students having Stress during the medical college [l1,12,13].

Methodology
A cross-sectional study was conducted at Tribhuvan University Teaching Hospital (TUTH), Kathmandu, Nepal, aiming to assess stress, anxiety, and depression levels among 300 postgraduate medical students. The research utilized a census sampling method, enrolling all eligible participants except those previously diagnosed with depression/anxiety and Information Technology master's students.

Participants completed self-reporting questionnaires, including socio-demographic details and the Depression Anxiety stress Scale (DASS), a 21-item measure developed by Lovibond and Lovibond (1995). Institutional Review Board approval was obtained from the Institute of Medicine, Tribhuvan University, and Teaching Hospital. Statistical analysis was performed using SPSS version 21 for Windows, presenting results as mean ± standard deviation, percentages with 95% confidence intervals, and significant associations determined by chi-square tests (p<0.05). Binary logistic correlation examined the strength of associations between independent and dependent variables. The study aimed to identify the prevalence of risk and protective factors linked to Stress, anxiety, and depression among postgraduate medical students.

Ethical Approval
Ethical approval was sought from the Institutional Review Board, Institute of Medicine, Tribhuvan University Teaching Hospital.

Results
Table No. 1: Socio- Demographic Characteristics of the participants (N=198)

Characteristic

Categories

No. of Participants (N)

Percent (%)

Gender

Male

Female

107

91

54

46

Age Group(years)

20-30

31- 40

41-50

152

44

2

76.8

22.2

1

Place of Residency

Rural

Urban

33

165

16.7

83.3

Marital status

Single

Married

97

101

49

51

Religion

Hindu

Buddhist

Islam

Christian

Others

174

13

7

1

3

87.9

6.6

5.5

0.5

1.5

Type of Family

Nuclear

Joint

119

79

60.1

39.9

Income

5000- 10000

11000- 15000

16000-20000

21000-25000

More than 25000

15

5

3

15

160

7.6

2.5

1.5

7.6

80.6

Number of family

Less than five

More than five

111

87

63.1

43.9

Residency Year

First Year

Second Year

Third Year

87

67

44

44

33.4

22.2

Use of Alcohol

No use of alcohol

Occasional drinking

Less than 2 Year

2-5 Year of Drinking

More than five year of Drinking

126

19

10

10

33

63.6

9.6

5.1

5.1

16.6

Ethnicity

Brahmin

Chhetri

Newar

Tamang

Gurung

Magar

Others

78

36

43

1

3

2

35

39.4

18.6

21.7

0.5

1.5

1

17.7

Type of department

Surgical

Non- Surgical

43

155

21.7

78.3

Use of Substance

Using

Not Using

19

179

9.5

90.5

 The study enrolled a total of 198 postgraduate medical students with the response rate of 66% where majority were males (54%) than females (46%). Majority (76.8%) were from 18- 30 years of age group, whereas 22.2% were from age group of 30-40 years and only 1 % were from age group of 40-50 years, from urban area (83.3%), married(51%), belonged to nuclear family (60.1%) and Hindu religion(87.9%), (had monthly income of more than twenty-five thousand were (80.8%), from non-surgical department (78.3%) and were not consuming alcohol(63.6%). However, about one-third (36.4%) were consuming alcohol. About one-tenth (9.5%) were using substance. Most the participants were from first year of residency (43.9%) while (33.8%) were from second year Also, most of them had family member less than five (56.11%) ,and from Brahmin ethnicity(39.4% ).

Figure 1: Stress among the Participants

Figure one reported that 24.2% (N= 48) had mild level of stress were, moderate level of stress were among 8.1% (N= 16), severe level of stress were among 1.5% (N= 3) and extreme level of stress were among 1% (N=2).

Table No. 2: Stress and Socio- demographic Variables

Characteristics

 

 

Category

 

 

Mean ± S. D

Stress

Chia Square

Test (X2 )

Normal

Clinical range

 

Gender

Male

Female

(9.7 ± 7)

(9.1 ± 7)

67(62.5%)

62(68%)

40(37.5)

29(32%)

2.2

Age Group

20-30

31- 40

41-50

(9.7 ± 6.9)

(8.5 ± 7.2 )

(6 ± 8.4)

97(63%)

30(68%)

2(100%)

55(36%)

13(29%)

0(0%)

2.4

Place of Residency

Rural

Urban

(9.7 ± 6.9)

(9.4 ± 7)

22(66%)

107(64%)

11(33%)

58(35%)

1.2

Marital status

Single

Married

(10.4 ± 6.8)

(8.4 ± 7.1)

59(61%)

70(69%)

38(39%)

31(31%)

2.1

Religion

Hindu

Buddhist

Islam

Christian

Others

(9.3 ± 6.8)

(10.8 ± 9.6)

(11 ± 8.1)

(10 ± 0)

(4.6 ± 3)

112(64%)

9(69%)

4(36%)

1(1%)

3(1%)

62(36%)

4(31%)

3(27%)

0(0%)

0(0%)

25.7

 

Type of Family

Nuclear

Joint

(9.3 ± 6.2)

(9.6 ± 8.1)

76(64%)

53(67%)

43(36%)

26(33%)

2.01

Income

5000- 10000

11000- 15000

16000-20000

21000-25000

>25000

(8.2 ± 5.8)

(6.8 ± 4.3)

(4 ± 4)

(10.4 ± 6.6)

(9.6 ± 7.2)

11(73%)

3(6%)

3(1%)

9(6%)

103(64%)

2(13%)

2(4%)

0(0%)

9(6%)

57(35%)

6.88

Number of family

Less than five

More than five

(9.6± 6.3)

(9.2 ± 7.8)

68(61%)

 

43(39%)

36(41%)

3.43

Residency Year

First Year

Second Year

Third Year

(9 ± 7.1)

(10.1 ± 6.8)

(9.1 ± 7.3)

57(56%)

43(64%)

29(65.9)

30(30%)

24(36%)

15 (34.1%)

4.01

Use of Alcohol

No use

Occasional

< 2 Year

2-5 Year

>  5 Year

(8.8 ± 6.1)

(10.2 ± 8.2)

< 2 Year (11 ± 5)

(12.6 ± 9.6)

(9.9 ± 8.8)

84(67%)

13(68%)

6(54%)

7(7%)

10(30%)

42(33%)

6(31%)

4(36%)

3(3%)

14(42%)

17.14

Ethnicity

Brahmin

Chhetri

Newar

Tamang

Gurung

Magar                        

Others

(9 ± 7)

(9.9 ± 6.5)

(9.2 ± 6.5)

(8 ± 0)

(14.6 ± 17)

(13 ± 7)                      

(9.5 ± 7.3)

52(67%)

22(61%)

27(63%)

1(100%)

2(67%)

1(50%)

24(68%)

26 (33%)

14 (29%)

16 (37%)

0 (0)

1(33%)

1(50%)

11(32%)

30.33

Type of department

Surgical

Non- Surgical

(9.7 ± 5.9)

(9.3 ± 7.3)

21(49%)

108(70%)

22(51%)

47(30%)

10.7* (p<0.03)

Use of Substance

Using

Not Using

(12.4 ± 9.7)

 (9.1 ± 6.6)

12(63%)

117(99%)

7(37%)

62(35%)

10.1*

(p<0.02)

Note: * = P value is less than 0.05, 

The above table result showed that surgical department residents (51%) had more stress than that of non - surgical department (30%, P-value 0.03) and it was significant. Similarly, participants who used substance (37%) had higher stress than who did not use substance (35%) and it was significant too with P-value of 0.02.

Figure 2: Anxiety among Participants

Results showed that participants who had mild level of anxiety were 19.7% (N= 39), moderate level of anxiety were 8.6% (N= 17), severe level of anxiety were 3% (N= 6), extreme level of anxiety were 1.5% (N= 3) and 67.2 % (N= 133) (see table 2) were in normal level of anxiety.

Table No 3: Anxiety and Socio- demographic Variables

Characteristics

Category

Mean and S.D

Anxiety

X2

Normal

Clinical

 

Gender

Male

Female

(9.7 ± 7)

(9.1 ± 7)

75(71.4%)

58(63.7%)

32(28.6%)

33(36.3%)

4.6

Age Group

20-30

31- 40

41-50

(9.7 ± 6.9)

(8.5 ± 7.2)

(6 ± 8.4)

105(69%)

26(59%)

2(100%)

47(31%)

18(41%)

0

4.0

Place of Residency

Rural

Urban

(9.7 ± 6.9)

(9.4 ± 7)

23(69.6%)

110(66.6%)

10(30.4%)

55(33.4%)

2.4

Marital status

Single

Married

(, 10.4 ± 6.8)

(8.4 ± 7.1)

67(69%)

66(65.1%)

30(31%)

35(34.9%)

2.6

Religion

Hindu

Buddhist

Islam

Christian

Others

(, 9.3 ± 6.8)

(10.8 ± 9.6)

(11 ±  8.1)

(10 ± 0)

(4.6 ± 3)

121(69.5%)

6(48%)

3(27.2%)

1(100%)

2(66.6%)

53(29.5%)

7(52%)

4(61.8%)

0

1(33.4%)

10.7

Type of Family

Nuclear

Joint

(9.3 ± 6.2)

(9.6 ± 8.1)

80(67.2%)

53(76.8%)

39(32.8%)

26( 22.2%)

1.4

Income

5000- 10000

11000- 15000

16000-20000

21000-25000

>25000

(8.2 ± 5.8)

(6.8 ± 4.3)

(4 ± 4)

(10.4 ± 6.6)

(9.6 ± 7.2)

10(67%)

5(1%)

2(67%)

7(47%)

109(68%)

5(33%)

0(0%)

1(33%)

8(53%)

51(32%)

17.9

Number of family

Less than five

More than five

(9.6± 6.3)

(9.2 ± 7.8)

72(65%)

61(70%)

39(35%)

26(30%)

2.7

Residency Year

First Year

Second Year

Third Year

(9 ± 7.1)

(10.1 ± 6.8)

(9.1 ± 7.3)

56(55%)

48(72%)

29(65.9%)

31(31%)

19(28%)

15 (34.1%)

 

Use of Alcohol

No use

Occasional

< 2 Year

2-5 Year

>  5 Year

(8.8 ± 6.1)

(10.2 ± 8.2)

(11 ± 5)

(12.6 ± 9.6)

(9.9 ± 8.8)

87(69%)

12(63%)

4(36%)

9(90%)

21(64%)

39(31%)

7(37%)

0(0%)

1 (10%)

12(2%)

30.8*(p<0.04)

Ethinicity

Brahmin

Chhetri

Newar

Tamang

Gurung

Magar                        

Others

(9 ± 7)

(9.9 ± 6.5)

(9.2 ± 6.5)

(8 ± 0)

(14.6 ± 17)

(13 ± 7)                        

(9.5 ± 7.3)

52(67%)

27(75%)

27(63%)

1(1%)

2(67%)

24(12%)

26(33%)

9(25%)

16(37%)

0(0%)

1(33%)

2(1%)

11(31%)

38.1

Type of department

Surgical

Non- Surgical

(9.7 ± 5.9)

(9.3 ± 7.3)

28(65%)

105(68%)

15(35%)

50(32%)

7.1

Use of Substance

Using

Not Using

(12.4 ± 9.7)

(9.1 ± 6.6)

15 (79%)

118 (66%)

4  (21%)

61 (34%)

5.2

Note: * = P value is less than 0.05,

The table showed that anxiety have significant relation with alcohol but not with any other socio- demographic variables None-alcohol consuming (30.9%) and who consumed (36.8%) and it was significant since P-value was 0.02.

Figure 3: Depression among Participants

Figure  represented that participants who had mild level of depression were 15.2% (N= 31), moderate level of depression were 12.1% (N= 24), severe level of depression were 4.5% (N= 9), extreme level of depression were 2.5% (N= 5) and 65.2% (N= 129) were in normal level of depression were. The mean score was 7.47 and the standard deviation was 7.54.

Table No. 4: Depression and Socio- demographic Variables

Characteristics

Category

Mean and SD score

Depression

X2

Normal

Clinical

 

Gender

Male

Female

(9.7 ± 7)

(9.1 ± 7)

67(62.6%)

62(68.1%)

40(37.4%)

29(31.9%)

5.63

NS

Age Group

20-30

31- 40

41-50

(9.7 ± 6.9)

(8.5 ± 7.2)

(6 ± 8.4)

102(67.1%)

25(56.8%)

2(100%)

50(32.9%)

19(43.2%)

0

8.9

NS

Place of Residency

Rural

Urban

(9.7 ± 6.9)

(9.4 ± 7)

19(57.5%)

129(78.1%)

14(32.5%)

55(21.9%)

5.2

NS

Marital status

Single

Married

(, 10.4 ± 6.8)

(8.4 ± 7.1)

61(62.8%)

68(67.3%)

36(37.2%)

33(32.7%)

2.3

NS

Religion

Hindu

Buddhist

Islam

Christian

Others

(, 9.3 ± 6.8)

(10.8 ± 9.6)

(11 ±  8.1)

(10 ± 0)

(4.6 ± 3)

113(64.9%)

9(69.2%)

7(63.6%)

1(100%)

3(100%)

61( 35.1%)

4(29.8%)

4(36.4%)

0

0

16.8

NS

Type of Family

Nuclear

Joint

(9.3 ± 6.2)

(9.6 ± 8.1)

80 (67.2%)

49 (71.1%)

39(32.8%)

30(28.1%)

4.6

NS

Income

5000- 10000

11000- 15000

16000-20000

21000-25000

>25000

(8.2 ± 5.8)

(6.8 ± 4.3)

(4 ± 4)

(10.4 ± 6.6)

(9.6 ± 7.2)

12(80%)

3(60%)

3(100%)

7(49%)

104(65%)

3(20%)

2(40%)

0

8(51%)

56(935%)

15.4

NS

Number of family

Less than five

More than five

(9.6± 6.3)

(9.2 ± 7.8)

73(65.7%)

56(64.3%)

38(34.3%)

31( 35.7%)

1.2

NS

Residency Year

First Year

Second Year

Third Year

(9 ± 7.1)

(10.1 ± 6.8)

(9.1 ± 7.3)

55(63.2%)

45(67.1%)

29(64.9%)

32(36.8%)

22(32.9%)

15(35.1%)

5.4

NS

Use of Alcohol

No use

Occasional

< 2 Year

2-5 Year

>  5 Year

(8.8 ± 6.1)

(10.2 ± 8.2)

(11 ± 5)

(12.6 ± 9.6)

(9.9 ± 8.8)

86(68.2%)

11(57.8%)

6(60%)

7(70%)

19(57.5%)

40(31.8%)

8(42.2%)

4(40%)

3(30%)

14 (42.5%)

8.2

NS

Ethnicity

Brahmin

Chhetri

Newar

Tamang

Gurung

Magar   

Others

(9 ± 7)

(9.9 ± 6.5)

(9.2 ± 6.5)

(8 ± 0)

(14.6 ± 17)

(N=2,13±7) 

( 9.5 ± 7.3)

48(68.5%)

26(72.2%)

30(69.7%)

1(91.00%)

2(66.6%)

1(50%)

21(60%)

30(31.6%)

10(27.8%)

13(29.3%)

0

1(33.4%)

1(50%)

14(40%)

23.4

NS

Type of department

Surgical

Non- Surgical

( 9.7 ± 5.9)

(9.3 ± 7.3)

29(67.5%)

100(65.5%)

14(32.5%)

55(34.5%)

4.3

NS

Use of Substance

Using

Not Using

(12.4 ± 9.7)

(9.1 ± 6.6)

10(53%)

119(66.5%)

8(47%)

60(33.5%)

6.09

NS

Note: * = P value is less than 0.05, NS= Not Significant
The table showed that depression did not have any significant relation with socio- demographic variables.

Correlations between Stress, Anxiety, Depression

Measures

Stress

Anxiety

Depression

Stress

1

0.59** (P <0.0)

0.73**(P <0.0)

Anxiety

0.59**(P <0.0)

1

0.64**(P <0.0)

Depression

0.73**(P <0.0)

0.64**(P <0.0)

1

Note:  ** = p<0.01
The table shows that all the variables have positive correlation with each other.

Discussion
36.4% were consuming alcohol which contrasts with the study of Pullen et al (1995) which shows only 3% alcohol problems in his participants [14]. Similarly, according to Patrick et al. (2016), substantial rates of behavioral health problems were found, with 20.6% screening positive for hazardous, harmful, and potentially alcohol-dependent drinking in the study done [15]. Study done by Khanal. P et al (2010) found the 57.6% prevalence of alcohol among graduate level postgraduate medical students [16]. The respondents who were using substance in the present study were 9.5%, which is almost similar in pattern reported by Khanal. P et al (2010), who reported prevalence as 12.6% [16]

Overall, 34.8 % of subjects had stress. This finding contrasted with the findings of Marjani et al (2008) who reported mild, moderate, and severe stress of 26.22%, 20.50% and.75% among the study subjects [14] and 39.35% of medical students had no stress [17]. Stress was found to be higher in males than female postgraduate medical students and it was even higher in age group of 20- 30 years compared to other age group. It was higher in single than married postgraduate medical students. Stress in female was like that of the study done in Turkey, where female students experienced a higher level of stress than male students according to Khamseh et al (2011) [22]. The result was like Priya et al (2015) where the stress scores were significantly different in stressed state in male and female students [19]

Overall, 32.8% of the total participants had anxiety, which was lower than the finding of Kunwar et al. (2016) where their findings showed the prevalence of anxiety was 41.1% [20]. The prevalence of anxiety from this study is also in line with findings 35.1% in a Pakistani and 39.9% from Indian study [5,6]. Studies from western world report prevalence rates of anxiety in the range of 14–24% [7,19]. Greenfield et al. (2000) show that female medical students experienced considerably more anxiety than male students in clinical settings [19]

Overall, 34.8% of them had depression and depression was higher in male than female. The results were higher than the finding of Kunwar et al (2016), where their findings show the prevalence of depression was 29% [20]. Another study from done by Basnet et al (2012) from Dharan, Nepal found the prevalence of depression to be 29.78%. Similarly, another study from Nepal showed the prevalence of 20% [18,21]. The prevalence of depression (34.8%) from this study is also in line with findings 35.1% in a Pakistani and 39.9% from Indian study [5,6]. Study from Pakistan, Malaysia medical university and Singapore shows prevalence of 46.1 41.9%, and 57.0% had depression [8-10]. Patti et al. (2007) reported that 37.0% of the medical professional have the symptoms of depression [11]

Depression was higher in those using substance. Being a health professional is a huge responsibility, studies of medical students and young doctors suggest that their own health care is poor [1], reports show high rates of mental health problems including depression, anxiety [2].

Study reported that stress, anxiety and depression had strong correlation among each other [19,22]

Limitations
Study did not investigate the timeline like yearly i.e first year, second year and final year due to limitation of time duration to complete the research. Study didn’t include medical students below 25 years of age and above 50 years of age which would leave the research with huge age range gap. 

Conclusion
Medical education is highly stressful which makes post graduate medical student prone to develop negative emotional symptoms. Overall findings suggest that almost one third medical students reported significant symptoms of stress, anxiety and depression. Stress identification and its management should not be overlooked in medical students to ensure their well-being and better mental health.

Acknowledgement: None.

Conflict Of Interest: None.

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