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International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March- 2016]
Page | 27
Occupational Risk Factors of Common Psychiatric Disorders
among Railway Employees: A Descriptive Study
Dr. Ramswaroop Matoria1
, Dr. Sanjay Jain2
, Dr. I.D. Gupta3,
Dr. Gaurav Rajender4
,
Dr. Rajesh Sharma5
, Dr. Vijay Chaudhary6
1
Junior Resident, Department of Psychiatry, SMS Medical College, Jaipur
2
Sr. Professor & Head of Unit, Department of Psychiatry, SMS Medical College, Jaipur
3
Professor, Department of Psychiatry, SMS Medical College, Jaipur
4
Assistant Professor, Department of Psychiatry, SMS Medical College, Jaipur
5
Junior Specialist, Department of Psychiatry, SMS Medical College, Jaipur
6
Specialist (MO), Department of Psychiatry, SMS Medical College, Jaipur
Abstract— There is a dearth of research work and scarcity of availability of data on psychiatric
morbidity among railway employees in India. Present hospital based observational descriptive study
was carried out at medical OPD of Central Hospital of Northern Western Railway, Jaipur with the
specific aims to study occupational attributes of common psychiatric disorders. Total 450 randomly
selected individuals were screened for psychiatric morbidities by using Mini-international
neuropsychiatric interview-PLUS. Psychiatric diagnosis confirmed by two psychiatrists separately using
the ICD, 10th revision (diagnostic and research criteria). A self designed, pre-tested & semi-structured
detailed Performa was used to elicit demographical and occupational attributes. Univariate analysis
was carried out initially to identify risk factors. The data was analyzed in terms of descriptive statistics,
Chi-square test and stepwise binary logistic regression by using SPSS and Primer Version ‘6’. Most
common diagnosed psychiatric disorders were Neurotic, stress related and somatoform disorders (28%),
followed by mood disorders (25.56%). Common Psychiatric Disorders (CPD) i.e. depression, anxiety
and somatoform disorders were the most common diagnosed psychiatric morbidities (49.78%). Working
in rotatory shifts, perceived problems related to shift duties and stress in the working environment, work
experience more than 20 years and non-executive type job were observed as the occupational risk
factors for common psychiatric disorders. The present observations suggest that there is scope for
psychiatric intervention for the management of perceived stress at work place, problems related to shift
duties and other occupational challenges.
Key words: Common Psychiatric Disorders, Occupational Risk Factors, Shifts Duties, Medical
Comorbidity
I. INTRODUCTION
Work environments are known to influence the psychological functioning of the individuals.
1-2
In
comparison with the general population, industrial workers have the added risk of physical, chemical,
biological and other specific psychosocial factors of their occupational environment.
3
The reported
prevalence rates of psychiatric morbidity in the Indian industrial population range from 14-37%;
whereas, it can be up to as high as 74% in Western reports.
4-6
About 15% of all occupational disabilities
reported are stress related.
7
Minor psychiatric morbidity (Common Psychiatric Disorders) is the most
common cause for sick leave in industrial occupations.
8
Existing literature indicates that almost all railways employees, except a very limited managerial /
administrative cadre, are exposed to health hazards on a daily basis. Broadly, they are exposed to five
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 28
categories of environmental stressors: a) mechanical injuries and accidents; b) noise and vibration; c)
diesel exhaust; d) electric and magnetic fields; e) other hazards, including stress at work place.
9
Railway’s working environment also possesses all of the fundamental ingredients of occupational health
scenario along with a supplementary punch of dearth of services & research in the field of mental
health.
The medical out-patient department has been chosen because it closely resembles a general practice and
draws a sizeable proportion of the total first attendance at the out-patient clinic. Indian researchers
reported a low prevalence 38.6%
10
to much higher prevalence 61%
11
of psychiatric morbidity in medical
outpatients.
Keeping in the view of all mentioned concerns, the present study was conducted at Central Hospital,
North Western Railway, Jaipur- a referral secondary care centre catering to entire North Western zone
of Railway (Comprising four divisions i.e. Jaipur, Ajmer, Bikaner and Udaipur), with specific aim to
identify occupational attributes of common psychiatric disorders in the vision of developing the suitable
interventions for patients in order to improve their care and preventing serious health economic
consequences to the organization.
II. METHODOLOGY
A hospital based observational descriptive study was conducted at medical outdoor department of
Central Hospital of Northern Western Railway, Jaipur, during the period of one year (from 1st
June 14 to
30th
May 15). This study was carried out with the specific aims to study occupational attributes of
common psychiatric disorders.
Sample size was calculated 374 subjects at 95% confidence limit and 10% relative allowable error with
an expected average 51.7% prevalence of psychiatric morbidity in medical outpatients and industrial
population.
12
Simple random technique was used to select cases, which has design effect ‘1’. So, for the
study purpose 450 employees attending medical OPD of Central Hospital, North Western Railway,
Jaipur were taken with 20% the contingency addition.
Among medical OPD attendees, permanent Railway employees who can read and understand and
willing to participate in this study were included in study but those who had either h/o head injury or
mental retardation or if patient is unable to communicate were excluded from study.
2.1 Ethical Consideration:
Study was approved by research review board & ethical committees of the concerned institutions. An
informed written consent was obtained from the subject prior to participation in the study and
confidentiality was assured.
2.2 Procedure:
After taking formal written consent in an informed consent form (Formatted in Hindi language) from
450 randomly selected eligible subjects, were screened for psychiatric as well as medical morbidities.
Clinico-socio- occupational and demographical profile of study subjects were collected on a self
designed, pre-tested & semi-structured detailed Performa. The participants were asked to dichotomously
(Yes/No) reflect their global impressions on job satisfaction, job stress, interpersonal relationships,
perceived support at the workplace and other concerns related to their duties. B.G. Prasad’s socio-
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 29
economical status scale (updated for 2014)
13-14
for Indian’s families was used to assess socio-economic
status of participants.
These subjects were screened by the Mini-International Neuropsychiatric Interview-Plus (MINI-PLUS).
It is a short structured clinical interview which enables researchers to make diagnoses of psychiatric
disorders according to DSM-IV or ICD-10.
15
Psychiatric diagnosis was confirmed by two psychiatrists
(Jain S. and Rajender G.), separately using the International Classification of Diseases, 10th revision
(ICD-10) (diagnostic and research criteria).
16
As per the type of morbidity they have, these subjects were divided in to three groups as follows:
1. Patients with only medical disorders (Group-I).
2. Patients with only psychiatric disorders’ (Group-II).
3. Patients with co-morbidity of medical disorders & psychiatric disorders” (Group-III).
2.3 Statistical Analysis:
Data were summarized and analyzed with the help of MS Excel 2007 and statistical software Primer
Version ‘6’. To assess association Chi Square test and Odd’s ratio were used. The level of significance
was set at a standard of p < 0.05. Univariate analysis was carried out initially to identify risk factors.
Furthermore, stepwise binary logistic regression analysis was carried out to identify independent
predictors.
III. RESULTS
Among total 450 study individuals, 5.56% of patients were suffering from purely psychiatric problems
(Group-II) and an additional 48.44% to have associated psychiatric disorders (Group-III), bringing the
overall psychiatric morbidity to 54%.(Table 1) (Figure 1)
According to ICD-10 classification, frequently diagnosed psychiatric disorders were Neurotic, stress
related and somatoform disorders (28%), followed by mood disorders (25.56%), schizophrenia (0.89%)
and unspecified nonorganic psychosis (2.22%). Common Psychiatric Disorders (CPD) i.e. depression,
anxiety and somatoform disorders were the most common (224/450, 49.78%) diagnosed psychiatric
morbidities amongst patients attending medical OPD. (Figure 2)
Figure 1 Figure 2
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 30
Study sample had an age range of 25-59 years with mean of 44.64±20.06 (Mean ± 2SD) years; while the
maximum of individuals were from the age group of 51 to 60 years (37.11%). An overwhelming
majority of the study sample consists of males (90.89%), Hindus (92.89%), married persons (84.89%),
living in nuclear families (75.11%), hailed from urban areas (80.22%), educated up to post
graduation/professional degrees (68.22%) and belonged to two upper socio-economic classes
(96.66%).(Table 1)
Table 1
Demographic Associates of Study Group
Variables
Group-I (N=207) Group-II (N=25) Group-III (N=218) Total (450) χ2
(df)
p valueNo. % No. % No. % No. %
Age Group (yrs)
21-30
31-40
41-50
51-60
36
35
74
62
17.39
16.91
35.75
29.95
00
10
05
10
00
40
20
40
22
39
62
95
10.09
17.89
28.44
43.58
58
84
141
167
12.89
18.67
31.33
37.11
22.577 (6)
P = 0.00
Sex
Male
Female
199
08
96.14
3.86
20
05
80
20
190
28
87.16
12.84
409
41
90.89
9.11
14.128 (2)
P = 0.00
Religion
Hindu
Muslim
Jain
194
13
00
93.72
6.28
0.00
20
05
00
80
20
00
204
06
08
93.58
2.75
3.67
418
24
08
90.89
5.33
1.77
22.14 (4)
P = 0.000
Residence
Urban
Rural
181
26
87.44
12.56
15
10
60
40
165
53
75.69
24.31
361
89
80.22
19.88
16.064 (2)
P = 0.000
Education
Middle School
High School
Intermediate
Graduation
P.G./Professional
36 16
37
53
65
17.39
7.73
17.87
25.60
31.40
05
00
05
10
05
20
00
20
40
20
67
19
09
58
65
30.73
8.72
4.13
26.61
29.82
108
35
51
121
135
24
7.77
11.33
25.60
31.40
32.404 (8)
P = 0.000
Marital Status
Unmarried
Married
30
177
14.49
85.51
00
25
00
100
38
180
17.43
82.57
68
382
84.89
15.11
5.427 (2)
P = 0.066
Family
Nuclear
Joint
Three Generation
174
33
00
84.06
15.94
0.00
20
05
00
80
20
00
144
64
10
66.06
29.36
4.59
338
102
10
75.11
22.67
2.22
23.822 (4)
P = 0.000
SES
I
II
III
76
127
04
36.71
61.35
1.93
10
15
00
40
60
00
109
98
11
50.00
44.95
5.05
195
240
15
43.33
53.33
3.33
10.193 (2)
P = 0.006
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 31
When occupational attributes were compared in these various category of subjects it was found that non
executives (86.89%) and shift workers (32.89%) were significantly (p<0.05) more suffered from
psychiatric morbidity than their counterparts; while. (Table 2)
Table 2
Distribution of Study Individuals as per their Work Types
Variables
Group-I (N=207) Group-II (N=25) Group-III (N=218) Total (N=450) χ2 (df)
p valueNo % No % No % No %
Category of Work
3.22 (2)
p = 0.207NS
Safety Category 99 47.83 10 40 119 54.59 228 50.67
Non-safety Category 108 52.17 15 60 99 45.41 222 49.33
Nature of Work
30.864 (6)
p< 0.001S
Shift workers 28 13.53 10 40 110 50.46 148 32.89
Running staff 26 12.56 05 20 37 16.97 68 15.11
Train operating staff 9 4.35 00 00 00 0.00 9 2.00
Others 144 69.57 10 40 71 32.57 225 50.00
Type of Work 12.703 (2)
p = 0.002Executive 39 18.84 00 00 20 9.17 59 13.11
Non-executive 168 81.16 25 100 198 90.83 391 86.89
In present study sample, a significant (p=0.000S) higher proportions (61.11%) of workers were
encountered with stress at their work place, while furnishing their duties; whereas, perceived stress at
work place by employees also had a highly statistically significant (χ2
=75.469; df=2, P=0.000S)
detrimental influence upon distribution of psychiatric morbidity among three study groups. (Figure 3)
Figure 3
Proportion of psychiatric cases was significantly higher in persons with work experience more than 20
years (OR=3.541, CI=2.395-5.234; p<0.001S), non-executive type job (OR=2.12, CI=1.198-3.778;
p=0.013S), shift workers (OR=8.159, CI=5.075-13.119; p=<0.001S), and those who perceived problems
related to rotatory shifts (OR=15.314, CI=6.483-36.174; p=<0.001S) and stress in the working
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 32
environment (OR=4.919, CI=3.246-7.453; p=<0.001S); while, perceived support at work place (OR=
0.194, CI= 0.128-0.295; p <0.001S) and satisfaction with current job (OR=0.54, CI=0.326-0.893;
p=0.022S) have statistically significant protective influence upon occurrence and distribution of
psychiatric disorders among the participants of the index study. (Table 3)
Table 3
Work Related Risk Factors for Common Psychiatric Disorders (CPD)
Variables
Total
(N=450)
CPD (N=224) Statistics
(No) % OR 95% CI
P Value
(df=1)
Work Experience
>20 years 247 157 70.09 3.541 2.395 to 5.234 <0.001S
<20 years 253 67 29.91
Shift Workers
Yes 148 120 53.57 8.159 5.075-13.119 <0.001S
No 302 104 46.43
Perceived Shift Problems
Yes 77 71 31.70 15.314 6.483-36.174 <0.001S
No 373 153 68.30
Safety Category
Yes 228 120 53.57 1.261 0.871-1.826 0.257NS
No 222 104 46.43
Type of Job
Non-Executive 391 204 91.07 2.12 1.198-3.778 0.013S
Executive 59 20 08.93
Perceived Support at Work Place
Yes 175 46 20.54 0.194 0.128- 0.295 <0.001S
No 275 178 79.46
Perceived Stress at Work Place
Yes 275 177 79.02 4.919 3.246-7.453 <0.001S
No 175 47 20.98
Satisfaction with Current Job
Yes 373 176 78.57 0.54 0.326-0.893 0.022S
No 77 48 21.43
Upon multivarite analysis, perceived problems related to shift duties by workers were studied as the
significant risk predictors for the Common psychiatric Disorders CPD) and the Wald criteria also
demonstrated that perceived shift problems made a significant contribution to prediction of psychiatric
morbidity among Railway’s employees.(Table 4)
Table 4
Work Related Predictors for Common Psychiatric Disorders (CPD): Multivariate Analysis*
Predictors
Exp (B)
95% C.I. for EXP (B)
Significance
P value LS
Lower Upper
Safety Category 0.869 0.548 1.380 0.552 NS
Shift Workers 1.500 0.836 2.692 0.174 NS
Perceived Shift Problems 0.090 0.041 0.197 0.000 S
Type of Job (executive/non-executive) 0.727 0.359 1.473 0.377 NS
Perceived Support at Work 0.000 0.000 0.000 0.999 NS
Satisfaction with Current Job 1.122 0.612 2.059 0.709 NS
Perceived Stress at Work Place 0.000 0.000 0.000 0.999 NS
* Binary Logistic Regression
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 33
IV. DISCUSSION
The index study was designed to elicit basic epidemiological profile, especially occupational attributes
of common psychiatric disorders in the occupational health scenario of Railway’s set up.
This study found psychiatric disorders in 54% among Railway’s employees who reported to medical
OPD. Well comparable prevalence i.e. 51.7% was reported by Dutta S. et al (2007)12
in their study
among industrial population.
In this study, psychiatric disorders were significantly (p=0.000S) more observed among employees who
perceived stress at work place as compared to those who did not. This fact was supported by literature
where psychiatric symptoms were known to be the result of increased stress levels at work, 17
dysfunctional interpersonal relationships, increased job pressure, greater responsibility without
authority, feeling of insecurity, 7
career problems and pressure for production.
Higher proportion of psychiatric morbidity among employees of safety category is reasonable, because
there is a high stress involved in furnishing their scheduled duties in comparison to workers of other
non-safety categories. This high stress among employees of safety category, is also supported by the
results of Kumar et al (2011)18
from a cross sectional analytical study that mean of occupational stress
index of railway engine pilots was significantly (t = 9.466, P < 0.01) higher to that of office clerks, and
other similar observations were also made in earlier studies like the jobs of railway drivers fall under
‘high-strain’ category as they have to perform long hours of duty with rigid procedures and little options
for taking breaks (Karasek & Theorel, 1990,19
Kumar et al., 2011).18
High proportion of psychiatric morbidity among shift workers may be understandable on the ground of
nature of their jobs, where they face many adversities i.e. about half (52.02%) of shift workers were
came across with problems related to their shift duties and more than 3/4th
(78.38%) of employees, who
had furnishing shift duties were encountered with stress at their work places as compared to other non-
shift workers (52.56%). Similar observations were also made by Kiran Kumar P.K. et al (2001)20
that
49.2% of the workers reported shift related problems; while, Dutta S. et al (2007)12
concluded that shift
duties were significantly associated (P = 0.000) with more psychiatric morbidity.
Total duration of job (Work experience >20 years) was also observed as a risk factor for occurrence and
distribution of psychiatric morbidity among Railway’s employees, which may be explained by the
additive influences of the above noticed occupational attributes with time factor in the present study
sample.
It must be emphasized that in the sample studied, the multivariate analysis revealed that perceived
problems related to shift duties by workers was an independent determinant of Common psychiatric
Disorders among study individuals. Perceived problems related to shift duties i.e. stress of working in
odd hours, sleep disturbances and irregularity in exercise or eating habits are associated with various
physiological, physical and psychosocial adverse consequences like disruption in the circadian rhythm,
isolation/cut off from friends and families and changes in life style etc.
In the index study, those who had job satisfaction and perceived support at work place, were found to be
at lower risk for psychiatric disorders. A job satisfaction and perceived support at work place may itself
be the form of protective factors and may also stem from various favorable bio-psycho-social and
occupational factors like life style, physical fitness, copping skills, self efficacy, duty hours, family
dynamics and interpersonal relationships in the workplace etc.
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 34
V. CONCLUSIONS
Common Psychiatric Disorders especially depression, anxiety and somatoform disorders were found in
medical outpatients. Employees working in rotatory shifts, perceived problems related to shift duties and
stress in the working environment, work experience more than 20 years and non-executive type job as
the occupational risk factors of common psychiatric disorders in current study sample. So it can be
concluded that there is scope for psychiatric intervention for the management of perceived stress at work
place, problems related to shift duties and other occupational challenges. This may have both
therapeutic and preventive values.
CONFLICT
None declared till date.
REFERENCES
1. World Health Organisation. Epidemiology of Occupational Health, Assessment of Occupational
Health. Geneva: WHO; 1986
2. Schottenfeld R. Psychiatric disorders. In: Levy BS, Wegman DH (eds). Occupational Health-
Recognizing and Preventing Work-related Disease. 3rd
ed. Boston: Little Brown; 1995. p. 533–41
3. Park K. Park's Textbook of Preventive and Social Medicine. 14th
ed. Jabalpur: Bhanot Publishers;
1994. Occupational health; p. 455–69
4. Ganguli HC. Prevalence of psychological disorders in an Indian industrial population Part I, II and
III. Indian J Med Res. 1968;56:754–76
5. Bhaskaran K et al (1970): Migration and mental ill health in industry. Indian J Psychiatry.
1970;12:102–16
6. Kar N, Dutta S, Patnaik S (2002): Mental health in an Indian industrial population: Screening for
psychiatric symptoms. Indian J Occup Environ Med 2002;6:86-8
7. Sadock VA. Other clinical condition that may be a focus of clinical attention. In: Kaplan HI, Sadock
BJ (eds). Comprehensive Textbook of Psychiatry. 6th ed. Williams and Wilkins: Baltimore; 1995. p.
1633–6
8. Hensing G et al. Sick leave due to minor psychiatric morbidity: Role of sex integration. Soc
Psychiatry Epidemiol. 1995;30:39–43
9. Pradhan G et al. Occupational Health Challenges of Railway Employees in India – Towards
Developing a Comprehensive Framework for Action. International J Emergency Mental Health and
Human Resilience. 2015; 17(2):514-520
10. Thappa J et al. Psychiatric Morbidity in patients attending medical OPD at Govt. Medical College,
Jammu. Journal of Mental Health & Human Behavior. 2008; 13(2):27-29
11. Srinivasan TN, Suresh TR. Non specific and specific symptoms in non psychotic morbidity. Indian J
Psychiatry. 1989; 31:241-06
12. Dutta S et al. Prevalence and risk factors of psychiatric disorders in an industrial population in
India. Indian J Psychiatry. 2007 Apr-Jun; 49(2):103–108
13. Prasad BG. Social classification of Indian families. J Indian Med Assoc. 1961;37:250-1
14. Labour Bureau, Government of India. Construction and Maintenance of Index numbers. Available
form: http://wwww.labourbureau.nic.in
15. Mini International Neuropsychiatric Interview. M.I.N.I. Plus 5.0.0 (January 1, 2004)
16. World Health Organisation (WHO). The ICD-10 Classification of mental and behavioural disorders.
Diagnostic criteria for research. WHO: Geneva; 1992
17. Sauter SL, Murphy LR, Hurrell JJ. Prevention of work related psychological disorders. A national
strategy proposed by the National Institute for Occupational Safety and Health (NIOSH). Am
Psychol. 1990;45:1146–58
International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016]
Page | 35
18. Kumar D et al. Study of occupational stress among railway engine pilots. Indian J Occup Environ
Med. 2011 Jan-Apr; 15(1):25–28
19. Karasek R, Theorell T. Healthy work-Stress, Productivity and the reconstruction of working life.
New York: Basic Books; 1992
20. Kiran K. P.K. et al. Psychiatric Morbidity in Industrial Workers of South India. Journal of Clinical
and Diagnostic Research. 2011 October, Vol-5(5): 921-925

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Occupational Risk Factors of Common Psychiatric Disorders among Railway Employees: A Descriptive Study

  • 1. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March- 2016] Page | 27 Occupational Risk Factors of Common Psychiatric Disorders among Railway Employees: A Descriptive Study Dr. Ramswaroop Matoria1 , Dr. Sanjay Jain2 , Dr. I.D. Gupta3, Dr. Gaurav Rajender4 , Dr. Rajesh Sharma5 , Dr. Vijay Chaudhary6 1 Junior Resident, Department of Psychiatry, SMS Medical College, Jaipur 2 Sr. Professor & Head of Unit, Department of Psychiatry, SMS Medical College, Jaipur 3 Professor, Department of Psychiatry, SMS Medical College, Jaipur 4 Assistant Professor, Department of Psychiatry, SMS Medical College, Jaipur 5 Junior Specialist, Department of Psychiatry, SMS Medical College, Jaipur 6 Specialist (MO), Department of Psychiatry, SMS Medical College, Jaipur Abstract— There is a dearth of research work and scarcity of availability of data on psychiatric morbidity among railway employees in India. Present hospital based observational descriptive study was carried out at medical OPD of Central Hospital of Northern Western Railway, Jaipur with the specific aims to study occupational attributes of common psychiatric disorders. Total 450 randomly selected individuals were screened for psychiatric morbidities by using Mini-international neuropsychiatric interview-PLUS. Psychiatric diagnosis confirmed by two psychiatrists separately using the ICD, 10th revision (diagnostic and research criteria). A self designed, pre-tested & semi-structured detailed Performa was used to elicit demographical and occupational attributes. Univariate analysis was carried out initially to identify risk factors. The data was analyzed in terms of descriptive statistics, Chi-square test and stepwise binary logistic regression by using SPSS and Primer Version ‘6’. Most common diagnosed psychiatric disorders were Neurotic, stress related and somatoform disorders (28%), followed by mood disorders (25.56%). Common Psychiatric Disorders (CPD) i.e. depression, anxiety and somatoform disorders were the most common diagnosed psychiatric morbidities (49.78%). Working in rotatory shifts, perceived problems related to shift duties and stress in the working environment, work experience more than 20 years and non-executive type job were observed as the occupational risk factors for common psychiatric disorders. The present observations suggest that there is scope for psychiatric intervention for the management of perceived stress at work place, problems related to shift duties and other occupational challenges. Key words: Common Psychiatric Disorders, Occupational Risk Factors, Shifts Duties, Medical Comorbidity I. INTRODUCTION Work environments are known to influence the psychological functioning of the individuals. 1-2 In comparison with the general population, industrial workers have the added risk of physical, chemical, biological and other specific psychosocial factors of their occupational environment. 3 The reported prevalence rates of psychiatric morbidity in the Indian industrial population range from 14-37%; whereas, it can be up to as high as 74% in Western reports. 4-6 About 15% of all occupational disabilities reported are stress related. 7 Minor psychiatric morbidity (Common Psychiatric Disorders) is the most common cause for sick leave in industrial occupations. 8 Existing literature indicates that almost all railways employees, except a very limited managerial / administrative cadre, are exposed to health hazards on a daily basis. Broadly, they are exposed to five
  • 2. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 28 categories of environmental stressors: a) mechanical injuries and accidents; b) noise and vibration; c) diesel exhaust; d) electric and magnetic fields; e) other hazards, including stress at work place. 9 Railway’s working environment also possesses all of the fundamental ingredients of occupational health scenario along with a supplementary punch of dearth of services & research in the field of mental health. The medical out-patient department has been chosen because it closely resembles a general practice and draws a sizeable proportion of the total first attendance at the out-patient clinic. Indian researchers reported a low prevalence 38.6% 10 to much higher prevalence 61% 11 of psychiatric morbidity in medical outpatients. Keeping in the view of all mentioned concerns, the present study was conducted at Central Hospital, North Western Railway, Jaipur- a referral secondary care centre catering to entire North Western zone of Railway (Comprising four divisions i.e. Jaipur, Ajmer, Bikaner and Udaipur), with specific aim to identify occupational attributes of common psychiatric disorders in the vision of developing the suitable interventions for patients in order to improve their care and preventing serious health economic consequences to the organization. II. METHODOLOGY A hospital based observational descriptive study was conducted at medical outdoor department of Central Hospital of Northern Western Railway, Jaipur, during the period of one year (from 1st June 14 to 30th May 15). This study was carried out with the specific aims to study occupational attributes of common psychiatric disorders. Sample size was calculated 374 subjects at 95% confidence limit and 10% relative allowable error with an expected average 51.7% prevalence of psychiatric morbidity in medical outpatients and industrial population. 12 Simple random technique was used to select cases, which has design effect ‘1’. So, for the study purpose 450 employees attending medical OPD of Central Hospital, North Western Railway, Jaipur were taken with 20% the contingency addition. Among medical OPD attendees, permanent Railway employees who can read and understand and willing to participate in this study were included in study but those who had either h/o head injury or mental retardation or if patient is unable to communicate were excluded from study. 2.1 Ethical Consideration: Study was approved by research review board & ethical committees of the concerned institutions. An informed written consent was obtained from the subject prior to participation in the study and confidentiality was assured. 2.2 Procedure: After taking formal written consent in an informed consent form (Formatted in Hindi language) from 450 randomly selected eligible subjects, were screened for psychiatric as well as medical morbidities. Clinico-socio- occupational and demographical profile of study subjects were collected on a self designed, pre-tested & semi-structured detailed Performa. The participants were asked to dichotomously (Yes/No) reflect their global impressions on job satisfaction, job stress, interpersonal relationships, perceived support at the workplace and other concerns related to their duties. B.G. Prasad’s socio-
  • 3. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 29 economical status scale (updated for 2014) 13-14 for Indian’s families was used to assess socio-economic status of participants. These subjects were screened by the Mini-International Neuropsychiatric Interview-Plus (MINI-PLUS). It is a short structured clinical interview which enables researchers to make diagnoses of psychiatric disorders according to DSM-IV or ICD-10. 15 Psychiatric diagnosis was confirmed by two psychiatrists (Jain S. and Rajender G.), separately using the International Classification of Diseases, 10th revision (ICD-10) (diagnostic and research criteria). 16 As per the type of morbidity they have, these subjects were divided in to three groups as follows: 1. Patients with only medical disorders (Group-I). 2. Patients with only psychiatric disorders’ (Group-II). 3. Patients with co-morbidity of medical disorders & psychiatric disorders” (Group-III). 2.3 Statistical Analysis: Data were summarized and analyzed with the help of MS Excel 2007 and statistical software Primer Version ‘6’. To assess association Chi Square test and Odd’s ratio were used. The level of significance was set at a standard of p < 0.05. Univariate analysis was carried out initially to identify risk factors. Furthermore, stepwise binary logistic regression analysis was carried out to identify independent predictors. III. RESULTS Among total 450 study individuals, 5.56% of patients were suffering from purely psychiatric problems (Group-II) and an additional 48.44% to have associated psychiatric disorders (Group-III), bringing the overall psychiatric morbidity to 54%.(Table 1) (Figure 1) According to ICD-10 classification, frequently diagnosed psychiatric disorders were Neurotic, stress related and somatoform disorders (28%), followed by mood disorders (25.56%), schizophrenia (0.89%) and unspecified nonorganic psychosis (2.22%). Common Psychiatric Disorders (CPD) i.e. depression, anxiety and somatoform disorders were the most common (224/450, 49.78%) diagnosed psychiatric morbidities amongst patients attending medical OPD. (Figure 2) Figure 1 Figure 2
  • 4. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 30 Study sample had an age range of 25-59 years with mean of 44.64±20.06 (Mean ± 2SD) years; while the maximum of individuals were from the age group of 51 to 60 years (37.11%). An overwhelming majority of the study sample consists of males (90.89%), Hindus (92.89%), married persons (84.89%), living in nuclear families (75.11%), hailed from urban areas (80.22%), educated up to post graduation/professional degrees (68.22%) and belonged to two upper socio-economic classes (96.66%).(Table 1) Table 1 Demographic Associates of Study Group Variables Group-I (N=207) Group-II (N=25) Group-III (N=218) Total (450) χ2 (df) p valueNo. % No. % No. % No. % Age Group (yrs) 21-30 31-40 41-50 51-60 36 35 74 62 17.39 16.91 35.75 29.95 00 10 05 10 00 40 20 40 22 39 62 95 10.09 17.89 28.44 43.58 58 84 141 167 12.89 18.67 31.33 37.11 22.577 (6) P = 0.00 Sex Male Female 199 08 96.14 3.86 20 05 80 20 190 28 87.16 12.84 409 41 90.89 9.11 14.128 (2) P = 0.00 Religion Hindu Muslim Jain 194 13 00 93.72 6.28 0.00 20 05 00 80 20 00 204 06 08 93.58 2.75 3.67 418 24 08 90.89 5.33 1.77 22.14 (4) P = 0.000 Residence Urban Rural 181 26 87.44 12.56 15 10 60 40 165 53 75.69 24.31 361 89 80.22 19.88 16.064 (2) P = 0.000 Education Middle School High School Intermediate Graduation P.G./Professional 36 16 37 53 65 17.39 7.73 17.87 25.60 31.40 05 00 05 10 05 20 00 20 40 20 67 19 09 58 65 30.73 8.72 4.13 26.61 29.82 108 35 51 121 135 24 7.77 11.33 25.60 31.40 32.404 (8) P = 0.000 Marital Status Unmarried Married 30 177 14.49 85.51 00 25 00 100 38 180 17.43 82.57 68 382 84.89 15.11 5.427 (2) P = 0.066 Family Nuclear Joint Three Generation 174 33 00 84.06 15.94 0.00 20 05 00 80 20 00 144 64 10 66.06 29.36 4.59 338 102 10 75.11 22.67 2.22 23.822 (4) P = 0.000 SES I II III 76 127 04 36.71 61.35 1.93 10 15 00 40 60 00 109 98 11 50.00 44.95 5.05 195 240 15 43.33 53.33 3.33 10.193 (2) P = 0.006
  • 5. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 31 When occupational attributes were compared in these various category of subjects it was found that non executives (86.89%) and shift workers (32.89%) were significantly (p<0.05) more suffered from psychiatric morbidity than their counterparts; while. (Table 2) Table 2 Distribution of Study Individuals as per their Work Types Variables Group-I (N=207) Group-II (N=25) Group-III (N=218) Total (N=450) χ2 (df) p valueNo % No % No % No % Category of Work 3.22 (2) p = 0.207NS Safety Category 99 47.83 10 40 119 54.59 228 50.67 Non-safety Category 108 52.17 15 60 99 45.41 222 49.33 Nature of Work 30.864 (6) p< 0.001S Shift workers 28 13.53 10 40 110 50.46 148 32.89 Running staff 26 12.56 05 20 37 16.97 68 15.11 Train operating staff 9 4.35 00 00 00 0.00 9 2.00 Others 144 69.57 10 40 71 32.57 225 50.00 Type of Work 12.703 (2) p = 0.002Executive 39 18.84 00 00 20 9.17 59 13.11 Non-executive 168 81.16 25 100 198 90.83 391 86.89 In present study sample, a significant (p=0.000S) higher proportions (61.11%) of workers were encountered with stress at their work place, while furnishing their duties; whereas, perceived stress at work place by employees also had a highly statistically significant (χ2 =75.469; df=2, P=0.000S) detrimental influence upon distribution of psychiatric morbidity among three study groups. (Figure 3) Figure 3 Proportion of psychiatric cases was significantly higher in persons with work experience more than 20 years (OR=3.541, CI=2.395-5.234; p<0.001S), non-executive type job (OR=2.12, CI=1.198-3.778; p=0.013S), shift workers (OR=8.159, CI=5.075-13.119; p=<0.001S), and those who perceived problems related to rotatory shifts (OR=15.314, CI=6.483-36.174; p=<0.001S) and stress in the working
  • 6. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 32 environment (OR=4.919, CI=3.246-7.453; p=<0.001S); while, perceived support at work place (OR= 0.194, CI= 0.128-0.295; p <0.001S) and satisfaction with current job (OR=0.54, CI=0.326-0.893; p=0.022S) have statistically significant protective influence upon occurrence and distribution of psychiatric disorders among the participants of the index study. (Table 3) Table 3 Work Related Risk Factors for Common Psychiatric Disorders (CPD) Variables Total (N=450) CPD (N=224) Statistics (No) % OR 95% CI P Value (df=1) Work Experience >20 years 247 157 70.09 3.541 2.395 to 5.234 <0.001S <20 years 253 67 29.91 Shift Workers Yes 148 120 53.57 8.159 5.075-13.119 <0.001S No 302 104 46.43 Perceived Shift Problems Yes 77 71 31.70 15.314 6.483-36.174 <0.001S No 373 153 68.30 Safety Category Yes 228 120 53.57 1.261 0.871-1.826 0.257NS No 222 104 46.43 Type of Job Non-Executive 391 204 91.07 2.12 1.198-3.778 0.013S Executive 59 20 08.93 Perceived Support at Work Place Yes 175 46 20.54 0.194 0.128- 0.295 <0.001S No 275 178 79.46 Perceived Stress at Work Place Yes 275 177 79.02 4.919 3.246-7.453 <0.001S No 175 47 20.98 Satisfaction with Current Job Yes 373 176 78.57 0.54 0.326-0.893 0.022S No 77 48 21.43 Upon multivarite analysis, perceived problems related to shift duties by workers were studied as the significant risk predictors for the Common psychiatric Disorders CPD) and the Wald criteria also demonstrated that perceived shift problems made a significant contribution to prediction of psychiatric morbidity among Railway’s employees.(Table 4) Table 4 Work Related Predictors for Common Psychiatric Disorders (CPD): Multivariate Analysis* Predictors Exp (B) 95% C.I. for EXP (B) Significance P value LS Lower Upper Safety Category 0.869 0.548 1.380 0.552 NS Shift Workers 1.500 0.836 2.692 0.174 NS Perceived Shift Problems 0.090 0.041 0.197 0.000 S Type of Job (executive/non-executive) 0.727 0.359 1.473 0.377 NS Perceived Support at Work 0.000 0.000 0.000 0.999 NS Satisfaction with Current Job 1.122 0.612 2.059 0.709 NS Perceived Stress at Work Place 0.000 0.000 0.000 0.999 NS * Binary Logistic Regression
  • 7. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 33 IV. DISCUSSION The index study was designed to elicit basic epidemiological profile, especially occupational attributes of common psychiatric disorders in the occupational health scenario of Railway’s set up. This study found psychiatric disorders in 54% among Railway’s employees who reported to medical OPD. Well comparable prevalence i.e. 51.7% was reported by Dutta S. et al (2007)12 in their study among industrial population. In this study, psychiatric disorders were significantly (p=0.000S) more observed among employees who perceived stress at work place as compared to those who did not. This fact was supported by literature where psychiatric symptoms were known to be the result of increased stress levels at work, 17 dysfunctional interpersonal relationships, increased job pressure, greater responsibility without authority, feeling of insecurity, 7 career problems and pressure for production. Higher proportion of psychiatric morbidity among employees of safety category is reasonable, because there is a high stress involved in furnishing their scheduled duties in comparison to workers of other non-safety categories. This high stress among employees of safety category, is also supported by the results of Kumar et al (2011)18 from a cross sectional analytical study that mean of occupational stress index of railway engine pilots was significantly (t = 9.466, P < 0.01) higher to that of office clerks, and other similar observations were also made in earlier studies like the jobs of railway drivers fall under ‘high-strain’ category as they have to perform long hours of duty with rigid procedures and little options for taking breaks (Karasek & Theorel, 1990,19 Kumar et al., 2011).18 High proportion of psychiatric morbidity among shift workers may be understandable on the ground of nature of their jobs, where they face many adversities i.e. about half (52.02%) of shift workers were came across with problems related to their shift duties and more than 3/4th (78.38%) of employees, who had furnishing shift duties were encountered with stress at their work places as compared to other non- shift workers (52.56%). Similar observations were also made by Kiran Kumar P.K. et al (2001)20 that 49.2% of the workers reported shift related problems; while, Dutta S. et al (2007)12 concluded that shift duties were significantly associated (P = 0.000) with more psychiatric morbidity. Total duration of job (Work experience >20 years) was also observed as a risk factor for occurrence and distribution of psychiatric morbidity among Railway’s employees, which may be explained by the additive influences of the above noticed occupational attributes with time factor in the present study sample. It must be emphasized that in the sample studied, the multivariate analysis revealed that perceived problems related to shift duties by workers was an independent determinant of Common psychiatric Disorders among study individuals. Perceived problems related to shift duties i.e. stress of working in odd hours, sleep disturbances and irregularity in exercise or eating habits are associated with various physiological, physical and psychosocial adverse consequences like disruption in the circadian rhythm, isolation/cut off from friends and families and changes in life style etc. In the index study, those who had job satisfaction and perceived support at work place, were found to be at lower risk for psychiatric disorders. A job satisfaction and perceived support at work place may itself be the form of protective factors and may also stem from various favorable bio-psycho-social and occupational factors like life style, physical fitness, copping skills, self efficacy, duty hours, family dynamics and interpersonal relationships in the workplace etc.
  • 8. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 34 V. CONCLUSIONS Common Psychiatric Disorders especially depression, anxiety and somatoform disorders were found in medical outpatients. Employees working in rotatory shifts, perceived problems related to shift duties and stress in the working environment, work experience more than 20 years and non-executive type job as the occupational risk factors of common psychiatric disorders in current study sample. So it can be concluded that there is scope for psychiatric intervention for the management of perceived stress at work place, problems related to shift duties and other occupational challenges. This may have both therapeutic and preventive values. CONFLICT None declared till date. REFERENCES 1. World Health Organisation. Epidemiology of Occupational Health, Assessment of Occupational Health. Geneva: WHO; 1986 2. Schottenfeld R. Psychiatric disorders. In: Levy BS, Wegman DH (eds). Occupational Health- Recognizing and Preventing Work-related Disease. 3rd ed. Boston: Little Brown; 1995. p. 533–41 3. Park K. Park's Textbook of Preventive and Social Medicine. 14th ed. Jabalpur: Bhanot Publishers; 1994. Occupational health; p. 455–69 4. Ganguli HC. Prevalence of psychological disorders in an Indian industrial population Part I, II and III. Indian J Med Res. 1968;56:754–76 5. Bhaskaran K et al (1970): Migration and mental ill health in industry. Indian J Psychiatry. 1970;12:102–16 6. Kar N, Dutta S, Patnaik S (2002): Mental health in an Indian industrial population: Screening for psychiatric symptoms. Indian J Occup Environ Med 2002;6:86-8 7. Sadock VA. Other clinical condition that may be a focus of clinical attention. In: Kaplan HI, Sadock BJ (eds). Comprehensive Textbook of Psychiatry. 6th ed. Williams and Wilkins: Baltimore; 1995. p. 1633–6 8. Hensing G et al. Sick leave due to minor psychiatric morbidity: Role of sex integration. Soc Psychiatry Epidemiol. 1995;30:39–43 9. Pradhan G et al. Occupational Health Challenges of Railway Employees in India – Towards Developing a Comprehensive Framework for Action. International J Emergency Mental Health and Human Resilience. 2015; 17(2):514-520 10. Thappa J et al. Psychiatric Morbidity in patients attending medical OPD at Govt. Medical College, Jammu. Journal of Mental Health & Human Behavior. 2008; 13(2):27-29 11. Srinivasan TN, Suresh TR. Non specific and specific symptoms in non psychotic morbidity. Indian J Psychiatry. 1989; 31:241-06 12. Dutta S et al. Prevalence and risk factors of psychiatric disorders in an industrial population in India. Indian J Psychiatry. 2007 Apr-Jun; 49(2):103–108 13. Prasad BG. Social classification of Indian families. J Indian Med Assoc. 1961;37:250-1 14. Labour Bureau, Government of India. Construction and Maintenance of Index numbers. Available form: http://wwww.labourbureau.nic.in 15. Mini International Neuropsychiatric Interview. M.I.N.I. Plus 5.0.0 (January 1, 2004) 16. World Health Organisation (WHO). The ICD-10 Classification of mental and behavioural disorders. Diagnostic criteria for research. WHO: Geneva; 1992 17. Sauter SL, Murphy LR, Hurrell JJ. Prevention of work related psychological disorders. A national strategy proposed by the National Institute for Occupational Safety and Health (NIOSH). Am Psychol. 1990;45:1146–58
  • 9. International Multispecialty Journal of Health (IMJH) [Vol-2, Issue-3, March.- 2016] Page | 35 18. Kumar D et al. Study of occupational stress among railway engine pilots. Indian J Occup Environ Med. 2011 Jan-Apr; 15(1):25–28 19. Karasek R, Theorell T. Healthy work-Stress, Productivity and the reconstruction of working life. New York: Basic Books; 1992 20. Kiran K. P.K. et al. Psychiatric Morbidity in Industrial Workers of South India. Journal of Clinical and Diagnostic Research. 2011 October, Vol-5(5): 921-925