Afzal Hakim*, Himani Tak, Savitri Nagar, Suman Bhansali

Similar documents
INSTRUCTION MANUAL Instructions for Patient Health Questionnaire (PHQ) and GAD-7 Measures

Study on sleep quality and associated psychosocial factors among elderly in a rural population of Kerala, India

A cross sectional study on depression, anxiety and their associated factors among medical students in Jhansi, Uttar Pradesh, India

A cross-sectional study on stress perceived by families of mentally retarded children enrolled in special schools of a city of central India

Assessment in Integrated Care. J. Patrick Mooney, Ph.D.

DEPRESSION AND ANXIETY STATUS IN KANSAS

Five Changes in DSM 5 Principles for Primary Care. Tom Janzen, M.D. STEGH Mental Health May 14, 2014

Prevalence of depression among patients with end stage renal disease

Prevalence and Pattern of Psychiatric Disorders in School Going Adolescents

MOOD (AFFECTIVE) DISORDERS and ANXIETY DISORDERS

Prevalence and factors associated with depression among the elderly in rural areas of Kannur, North Kerala, India: a cross sectional study

Original Research Article. Rupali R. Rajput 1 *, Shashikant R. Pawar 2. DOI:

Impact of Comorbidities on Self-Esteem of Children with Attention Deficit Hyperactivity Disorder

Effectiveness of Cognitive Behaviour Therapy on Patients Suffering From Depression

University Grants Commission, New Delhi Recognized Journal No ISSN: Print: ISSN: Online: X

Prevalence of domestic accidents in a rural area of Kerala: a cross sectional study

A comparative study of prevalence of mental abnormalities among high school children in tribal, rural and urban Mysuru district, Karnataka, India

Appendix B: Screening and Assessment Instruments

depression and anxiety in later life clinical challenges and creative research

A Comparative Study of Socio Demographic and Clinical Profiles in Patient with Obsessive Compulsive Disorder and Depression

A study on non-compliance in tuberculosis cases towards the directly observed treatment short course under RNTCP in Kanpur Nagar

Brief Pain Inventory (Short Form)

Suicidal Ideation among School Going Adolescents

A Study of Anxiety among Hospitalized Patients of Orthopedics Ward of a Tertiary Care Hospital

Knowledge of family planning and current use of contraceptive methods among currently married women in Uttar Pradesh, India

INTRODUCTION TO MENTAL HEALTH. PH150 Fall 2013 Carol S. Aneshensel, Ph.D.

Prevalence and determinants of depression in geriatric women in an urban slum area of Mumbai suburbs

Study on the impact of family history of diabetes among type 2 diabetes mellitus patients in an urban area of Kancheepuram district, Tamil Nadu

FAMILY AND ADOLESCENT MENTAL HEALTH: THE PEDIATRICIAN S ROLE

Changes to the Organization and Diagnostic Coverage of the SCID-5-RV

Pain Psychology: Disclosure Slide. Learning Objectives. Bio-psychosocial Model 8/12/2014. What we won t cover (today) What influences chronic pain?

Knowledge And Attitude on Self Monitoring of Blood Glucose (Smbg) Among Diabetic Patients Belongs to Waghodia Taluka

Mental health of adolescent school children in Sri Lanka a national survey

Awareness of HIV/AIDS among the pregnant women and their husbands attending ANC clinic in a tertiary care centre in Chennai

Stigma in Patients Using Mental Health Services

When is a Psychological Disorder a Disability? Dr. Leigh Ann Ford, PhD, HSP Licensed Psychologist ABVE 2017 Annual Conference. Goals for presentation

Dr. Catherine Mancini and Laura Mishko

Structured teaching programme on knowledge about polycystic ovarian syndrome among adolescent girls

Doncaster Improving Access to Psychological Therapies (IAPT) Nurse Target September 2018 Dennis Convery

THE PREVALENCE OF DEPRESSIVE SYMPTOMS AND POTENTIAL RISK FACTORS THAT MAY CAUSE DEPRESSION AMONG ADULT WOMEN IN SELANGOR

A cross-sectional study among community on knowledge, attitude and practice about blood donation in Udaipur city of Rajasthan, India

Knowledge on Prevention and Immediate Management of Child with Febrile Seizure among Mothers of Under Five Children

To Associate Post Traumatic Stress and Sociodemographic Variables among Children with Congenital Heart Disease

A record based study of frequency and pattern of medico-legal cases reported at a tertiary care hospital in Miraj

Psychiatric morbidity in married females living away from their spouses attending the psychiatry clinic in a tertiary care, teaching hospital

Perceived Stress and Coping Strategies in Parents with Autism and Intellectual Disability Children

Mental Health in Workplaces in Taipei

PREVALENCE OF CONDUCT DISORDER IN PRIMARY SCHOOL CHILDREN OF RURAL AREA Nimisha Mishra 1, Ambrish Mishra 2, Rajeev Dwivedi 3

International Journal of Health Sciences and Research ISSN:

Section W: Depression Screenings in Dental Programs. Preface. Background

Internet Dependency among University Entrants: A Pilot Study

PATIENT NAME: DATE OF DISCHARGE: DISCHARGE SURVEY

Pattern of Anxiety and Depression among Secondary School. Students in Riyadh, KSA

Measurement of Psychopathology in Populations. William W. Eaton, PhD Johns Hopkins University

A Cross Sectional Study Evaluating Internet Addiction and Depression Levels among Medical and Engineering Students of Bengaluru City

CORRELATES OF DELAYED INITIATION OF TREATMENT AFTER CONFIRMED DIAGNOSIS UNDER RNTCP: A CROSS SECTIONAL STUDY IN AHMEDABAD MUNICIPAL CORPORATION, INDIA

NCFE Level 2 Certificate in Awareness of Mental Health Problems SAMPLE. Part A

Assessment of Mental Health Status of Middle-Aged Female School Teachers of Varanasi City

Consecutive mental health patients of a family doctor in Shanghai 6 years experience

Immunization status of children in the age group 0-5 years in urban slum area of Pratiksha nagar, Sion, Mumbai

Identifying and Coping with Adolescent Anxiety

Nishant R. Bhimani*, Pushti V. Vachhani, Girija P. Kartha. Department of Community Medicine, C. U. Shah Medical College, Surendranagar, Gujarat, India

RELATIONSHIP BETWEEN CHILDHOOD POVERTY AND DEPRESSION AND ANXIETY. A Quantitative Analysis. Tyra Smith

Help-seeking behaviour and its impact on patients attending a psychiatry clinic at National Hospital of Sri Lanka

These conditions can be short or long term, they can come and go, and there is no way of knowing who will be affected by them.

PHARMACY INFORMATION:

Prevalence of tobacco consumption among adults in urban field practice area NMC, Raichur, Karnataka, India

HERTFORDSHIRE PARTNERSHIP UNIVERSITY NHS FOUNDATION TRUST. Referral Criteria for Specialist Tier 3 CAMHS

IJBCP International Journal of Basic & Clinical Pharmacology

Common Adolescent Issues How to Identify and Help

Occupational Stress among Higher Secondary School Teachers: a field Study. Abstract

Awareness of Diabetic Retinopathy in Rural Population in South Tamil Nadu

CBT Intake Form. Patient Name: Preferred Name: Last. First. Best contact phone number: address: Address:

Study on Level of Depression among Elderly Residing in an Old Age. Home in Hyderabad, Telangana

Quality of life factors affecting quality of life in people living with HIV/AIDS in an urban area

A N I N T R O D U C T I O N T O S T R E S S, A N X I E T Y A N D D E P R E S S I O N F O R M A N A G E R S K A T H C H E E R

Juniata College Health & Wellness Counseling Center INITIAL ASSESSMENT

Career Ending Injuries: A Psychological Perspective KELSEY RUFFING, MA, LPC PSYCHOTHERAPIST/ SPORT PSYCHOLOGY CONSULTANT

Depression among College Going Students

Psychological Definition of a Mental Disorder

The Perinatal Mental Health Project (PMHP)

Quality of life among patients with arthritis seeking outpatient care at a government secondary health care centre, Anekal taluk

A study of effect of alcohol on liver function tests (LFT) in Garhwal hills, India

Amol R. Patil*, Mukesh S. Bawa, Mangesh B. Shirpurkar, Murlidhar P. Tambe

COPING STRATEGIES OF THE RELATIVES OF SCHIZOPHRENIC PATIENTS

Expanding Behavioral Health Data Collection:

Highs and Lows. Anxiety and Depression

Practice Matters: Screening and Referring Congregants with Major Depression

Original Article. Gautam A.G 1, Bansal P 2, Chauhan R 3, Chadha V 4 NTRODUCTION

Prevalence and Associated Factors of Depression among Elderly Population Living in Geriatric Homes in Kathmandu Valley

A study on awareness of cervical cancer among women of reproductive age group in urban slums of old Hubli, Karnataka, India

A Comparative Study of Alcoholism & Its Risk Factors in Male and Female Drinkers

IMPACT OF SOCIO-DEMOGRAPHIC FACTORS ON AGE APPROPRIATE IMMUNIZATION OF INFANTS IN SLUMS OF AMRITSAR CITY (PUNJAB), INDIA

Public Mental Health. Benedetto Saraceno University Nova of Lisbon University of Geneva Chairman Global Initiative on Psychiatry, The Netherlands

Refugee Health Assignment by ธนย จ ตน ป งเส ง

Original Article Seeking Professional Help in Medical Students Pak Armed Forces Med J 2018; 68 (2):

Comparative Health Care Analysis of Depression in the Elderly

JOHNNA L. KEEN, MSW, LCSW

Study to assess determinants of domestic violence among women in urban slum of Mumbai

DEPRESSION AMONG RURAL ELDERLY POPULATION

Transcription:

International Journal of Community Medicine and Public Health Hakim A et al. Int J Community Med Public Health. 2017 Sep;4(9):3267-3272 http://www.ijcmph.com pissn 2394-6032 eissn 2394-6040 Original Research Article DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20173826 Assessment of prevalence of depression and anxiety and factors associated with them in undergraduate medical students of Dr. S. N. Medical College, Jodhpur Afzal Hakim*, Himani Tak, Savitri Nagar, Suman Bhansali Department of Community Medicine, Dr. S. N. Medical College, Jodhpur, Rajasthan, India Received: 14 June 2017 Revised: 17 July 2017 Accepted: 27 July 2017 *Correspondence: Dr. Afzal Hakim, E-mail: afzalrizwana@gmail.com Copyright: the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Background: Anxiety and depression are worldwide problems which reflect the mental health of the population. A lot of researches have reported anxiety and depression among medical students as they are going to suffer from academic stressors such as information input overload, lack of leisure time and academic evaluation. The present study was aimed to assess the prevalence of anxiety and depression in undergraduate medical students; to find association between presence depression/anxiety and socio-demographic factors; to find correlation between depression and anxiety scores. Methods: The cross-sectional study was carried out at Dr. S. N. Medical College, Jodhpur. 426 undergraduate students were selected by simple random sampling. After obtaining informed written consent, students were given self-reporting questionnaire which included socio-demographic details, PHQ-9 and GAD-7. Results: 247 (57.98%) students were found to have depression. 103 (24.17%) students scored 10 on PHQ-9 indicating a need for further clinical evaluation. Anxiety was found to be present in 202 (47.41%) students. Presence of depression was associated with history of mental illness in family, any co-morbidities present in student and type of family. Anxiety was associated with medium of language students studied until senior secondary education and type of family. Significant positive correlation was observed between depression and anxiety scores. Conclusions: There is a need for conducting regular psychiatric evaluations and counselling for medical students so that presence of mental disorders can be detected early in their course prompting immediate treatment. Keywords: Depression, Anxiety, PHQ-9, GAD-7, Undergraduate medical students, Medical college INTRODUCTION For all individuals, mental, physical and social health are vital and interwoven strands of life. As our understanding of this relationship grows, it becomes ever more apparent that mental health is crucial to the overall well-being of individuals, societies and countries. Indeed, mental health can be defined as a state of well-being enabling individuals to realize their abilities, cope with the normal stresses of life, work productively and fruitfully, and make a contribution to their communities. Unfortunately, in most parts of the world, mental health and mental disorders are not accorded anywhere near the same degree of importance as physical health. Rather, they have been largely ignored or neglected. 1 Depression is a common mental disorder that presents with depressed mood, loss of interest or pleasure, decreased energy, feelings of guilt or low self-worth, disturbed sleep or International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3267

appetite, and poor concentration. Moreover, depression often comes with symptoms of anxiety. These problems can become chronic or recurrent and lead to substantial impairments in an individual s ability to take care of his or her everyday responsibilities. At its worst, depression can lead to suicide. Almost 1 million lives are lost yearly due to suicide, which translates to 3000 suicide deaths every day. For every person who completes a suicide, 20 or more may attempt to end his or her life (WHO, 2012). 2 Depression results from a complex interaction of social, psychological and biological factors. People who have gone through adverse life events (unemployment, bereavement, psychological trauma) are more likely to develop depression. Depression can, in turn, lead to more stress and dysfunction and worsen the affected person s life situation and depression itself. 3 Anxiety disorders refer to a group of mental disorders characterized by feelings of anxiety and fear, including generalised anxiety disorder (GAD), panic disorder, phobias, social anxiety disorder, obsessive-compulsive disorder (OCD) and posttraumatic stress disorder (PTSD). Symptoms can range from mild to severe. The duration of symptoms typically experienced by people with anxiety disorders makes it more a chronic than episodic disorder. 4 Anxiety and depression are worldwide problems which reflect the mental health of the population. A lot of researches reported anxiety and depression among medical students specially in their first academic year as they are going to suffer from academic stressors such as information input overload, lack of leisure time and academic evaluation, for many students depression stimulates feeling of fright, lack of ability, anger and can be associated with psychological and physical morbidities. 5 With these standpoints we carried out the present study which aimed at following objectives: To assess the prevalence of anxiety and depression in undergraduate medical students To find association between depression anxiety and factors instigating them. To find correlation between depression and anxiety scores. METHODS The cross-sectional study was conducted at Dr. S. N. Medical College for period of 6 months from October 2016 to April 2017, initial 4 months for filling of the questionnaires and remaining 2 months for data entry and analysis. Study population The study was conducted on undergraduate students of Dr. S.N. Medical College. Inclusion criteria All undergraduate students who gave their consent were included in the study. Sample size determination Using formula we calculated a sample size of 380, by using prevalence of depression in medical students as 39%. Taking a non-response rate of 10% for overcorrection a total sample size of 418 was calculated. 426 students were selected for the study by using simple random sampling from a total of 1000 students currently enrolled in the medical college. The selected students were given self-reporting questionnaire which included socio-demographic details, PHQ-9 and GAD-7. PHQ-9: PHQ-9 is a validated questionnaire to screen for depression. Cut-off scores used were 0-4 for no or minimal depression, 5-9 for mild depression, 10-27 for moderate to severe depression. At a cut off 10 on PHQ- 9, respondents were most likely to meet DSM IV criteria for major depressive disorder (likelihood ratio 7.1). 6 GAD-7 anxiety severity: This is calculated by assigning scores of 0, 1, 2, and 3, to the response categories of not at all, several days, more than half the days, and nearly every day, respectively. GAD-7 total score for the seven items ranges from 0 to 21. Scores of 5, 10, and 15 represent cut points for mild, moderate, and severe anxiety, respectively. Though designed primarily as a screening and severity measure for generalized anxiety disorder, the GAD-7 also has moderately good operating characteristics for three other common anxiety disorders panic disorder, social anxiety disorder, and posttraumatic stress disorder. When screening for individual or any anxiety disorder, a recommended cut point for further evaluation is a score of 10 or greater. Using the threshold score of 10, the GAD-7 has a sensitivity of 89% and a specificity of 82% for generalized anxiety disorder. 7 Statistical analysis Data was collected in MS-Excel 2010 and analysed in SPSS 16. Chi square test was used to determine association between socio-demographic factors and presence of depression and anxiety. Spearman rank coefficient for correlation was used to determine correlation between depression and anxiety scores. The threshold for significance was set at p <0.05. Alpha error of the study was set at 5% and power was 80%. Data are expressed as median± interquartile range, proportions and percentage. RESULTS Socio-demographic distribution of total students is given in Table 1. As shown in Figure 1, out of 426 students, 179 (42.02%) scored 0-4, 144 (33.80%) scored 5-9, 69 (16.19%) scored 10-14, 23 (5.39%) scored 15-19 and 11 (2.58%) scored more than 19 on PHQ-9 scale. In Figure 2, distribution of students according to GAD-7 score is shown, i.e. 224 (52.58%) scored 0-4, 136 (31.92%) International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3268

scored 5-9, 47 (11.03%) scored 10-14, and 19 (4.46%) scored 15-21 on GAD-7 scale. Of total 426 students surveyed, 247 (57.98%) were found to have depression i.e. PHQ-9 score more than 4. 103 (24.17%) students scored 10 on PHQ-9 indicating a need for further clinical evaluation, as scores 10 suggest underlying major depressive disorder. Anxiety was found to be present in 202(47.41%) students. Median PHQ-9 score was calculated as 9±6 (Q 1-6, Q 3-12). Median GAD-7 score was found to be 8±5 (Q 1-6, Q 3-11). Presence of Table 1: Socio-demographic profile. depression was associated with history of mental disease in family, any co-morbidities present in student and type of family. Anxiety was associated with medium of language students studied until senior secondary education. It was also associated with type of family. Other socio-demographic factors showed no association with either depression or anxiety as shown in Table 2 and 3. As shown in Table 4 there is significant correlation between depression and anxiety scores and vice versa. Socio-demographic factors Total (N=426) Percentage (%) Gender Male 249 58.45 Female 177 41.55 Place of origin Rural 214 50.23 Urban 212 49.27 Socio-economic status (B.G. Prasad) Class 1 260 61.03 Class 2 85 19.95 Class 3 30 7.04 Class 4 37 8.69 Class 5 14 3.29 No. of PMT attempts 1 148 34.74 2 194 45.53 3 73 17.13 >3 11 2.58 Parents education Illiterate 35 12.85 Primary 40 13.25 Secondary- Sr. Secondary 73 17.27 Graduate 109 25.70 Post-Graduate 269 30.93 H/o psychiatric illness Yes 6 1.20 No 420 98.8 Type of family Nuclear 186 43.66 Joint 199 46.71 Broken 41 9.63 Place of residence Hosteller 275 64.55 Day-Scholar 151 35.45 No. of siblings 0 18 4.22 1 156 36.61 2 118 27.69 >2 134 31.48 12 th class medium Hindi 209 49.06 English 217 50.94 Co-morbidities Nil 400 93.89 Asthma 11 2.58 DM 4 0.94 HTN 5 1.17 Others 6 1.42 International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3269

Table 2: Association of moderate to severe depression with various socio-demographic factors (N=426). S.no. Socio-demographic factors Present Not present Value of X 2 Degree of freedom P value 1. Gender Male 61 188 Female 42 135 0.033 1 0.909 2. Place of Rural 44 170 origin Urban 59 153 3.070 1 0.090 3. Class 1 66 194 Socioeconomic Class 2 21 64 Class 3 4 26 status (B.G. Prassad) Class 4 9 28 Class 5 3 11 2.202 4 0.699 4. 5. 6. 7. 8. 9. 10. 11. No. of PMT attempts Parents education H/o mental illness Type of family Place of residence No. of siblings Medium in class XII Comorbidities 1 37 111 2 44 150 3 16 57 >3 6 5 Illiterate 10 25 Primary 9 31 Sec. and sr. sec 14 59 Graduate 26 83 Post graduate 44 125 Yes 1 25 No 102 298 Nuclear 37 149 Joint 47 152 Broken 19 22 Hosteller 64 211 Day- scholar 39 112 0 6 12 1 37 119 2 25 93 >2 35 99 Hindi 49 160 English 54 163 Nil 91 309 Asthma 6 5 DM 1 3 HTN 3 2 Others 2 4 6.029 3 0.110 1.750 4 0.782 6.244 1 0.012 12.883 2 0.002 0.347 1 0.556 1.693 3 0.646 0.120 1 0.729 9.754 4 0.045 200 150 100 50 0 0 to 4 5 to 9 10 to 14 15 to 19 >19 No. of students 250 200 150 100 50 0 0 to 4 5 to 9 10 to 14 15 to 21 No. of students Figure 1: Distribution of no. of students according to PHQ-9 score. Figure 2: Distribution of no. of students according to GAD-7. International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3270

Table 3: Association of anxiety with various socio-demographic factors (N= 426). S.no. Socio-demographic factors Present Not present Value of X 2 Degree of freedom P value 1. Gender Male 118 131 Female 84 93 0.000 1 0.989 2. Place of origin Rural 93 121 Urban 109 103 2.704 1 0.100 Class 1 133 127 Socio-economic Class 2 35 50 3. status (B.G. Class 3 11 19 5.407 4 0.248 Prassad) Class 4 15 22 Class 5 8 6 1 77 71 4. 5. 6. No. of PMT attempts Parents education H/o mental illness 7. Type of family 8. Place of residence 9. No. of siblings 10. Medium in class XII 11. Co-morbidities 2 86 108 3 32 41 >3 7 4 Illiterate 16 19 Primary 14 26 Sec. & sr. sec. 31 42 Graduate 48 61 Post- graduate 93 76 Yes 5 1 No 197 223 Nuclear 83 103 Joint 89 110 Broken 30 11 Hosteller 125 150 Day- scholar 77 74 0 11 7 1 78 78 2 52 66 >2 61 73 Hindi 88 121 English 114 103 Nil 186 214 Asthma 7 4 DM 1 3 HTN 4 1 Others 4 2 Table 4: Correlation between depression and anxiety scores. 3.539 3 0.316 7.659 4 0.105 3.148 1 0.076 12.068 2 0.002 1.199 1 0.273 2.495 3 0.476 4.644 1 0.031 5.122 4 0.275 Variables Depression scores Anxiety scores P value Depression scores ------ 0.548 <0.05 Anxiety scores 0.548 ------- <0.05 DISCUSSION Medical profession is overlong, time-consuming, rife with competition, and consisting of syllabus which makes medical students prone to neuropsychiatric disorders; depression and anxiety chief amongst them. A study conducted in USA by Givens et al found 24% of medical students to be depressed. 8 On the other hand a study conducted on medical students in Alexandria by M.B. Ibrahim et al observed that 43.9% students suffered from depression and 57.9% students suffered from anxiety. 5 In India the prevalence of depression was found to be 39% by Vaidya et al. 9 Dahlin et al conducted a study in British medical students where psychiatric morbidity was found to be present in 16% of students. 10 In our study 57.99% students were provisionally diagnosed with depression (PHQ-9 5) with 24.17% having major depressive disorder (PHQ 10). According to Yadav et al majority (73%) medical students suffer from mild to moderate depression, 3% of students having severe depression. 11 International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3271

Anxiety was found in 47.41% students as compared 67% (Yadav). 11 Gender did not have significant association with either anxiety or depression as was seen in a study conducted by Sidana, Kishore, et al. 12 It was observed in our study that presence of depression was significantly associated with presence of co-morbidities such as T2DM, HTN, Asthma, etc.; no. of PMT attempts and type of family to which students belong (nuclear, joint, broken). Anxiety was associated with language medium from which students cleared senior secondary examinations and type of family. It was also found that depression scores and anxiety scores are positively correlated with high significance according to bivariate analysis. CONCLUSION There is a need for conducting regular psychiatric evaluations and counselling for medical students so that presence of mental disorders can be detected early in their course prompting immediate treatment. Limitations The students included in the study were not categorised according to their academic years therefore prevalence of depression and anxiety in each academic year was not established. Also substance abuse was not enquired in questionnaire hence its association with depression and anxiety was not identified. Funding: No funding sources Conflict of interest: None declared Ethical approval: The study was approved by the Institutional Ethics Committee REFERENCES 1. Investing in mental health. Department of Mental Health and Substance Dependence, Noncommunicable Diseases and Mental Health, World Health Organization, Geneva. Available from (http://www.who.int/mental_health/media/ investing_mnh.pdf) Accessed on 02 March 2017. 2. Depression: A Global Public Health Concern Developed by Marina Marcus, M. Taghi Yasamy, Mark van Ommeren, and Dan Chisholm, Shekhar Saxena, WHO Department of Mental Health and Substance Abuse. Available at: http://www. who.int /mental_health/management/depression/who_paper_ depression_ wfmh _2012.pdf Accessed on 02 March 2017. 3. Depression. Overview. Available at: http://www. who.int/mediacentre/factsheets/fs 369/en/) Accessed on 28 February 2017. 4. Depression and Other Common Mental Disorders Global Health Estimates. Available at: http://apps.who.int/iris/bitstream/10665/254610/1/w HO-MSD-MER-2017.2-eng. pdf Accessed on 28 February 2017. 5. Ibrahim MB, Abdelreheem MH. Prevalence of anxiety and depression among medical and pharmaceutical students in Alexandria University. Alexandria J Med. 2015;51:167-73. 6. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: Validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606-13. 7. Spitzer RL, Kroenke K, Williams JBW, Lowe B. A brief measure for assessing generalized anxiety disorder. Arch Inern Med. 2006;166:1092-7. 8. Givens JL, Tjia J. Depressed medical students use of mental health services and barriers to use. Acad Med. 2002;77:918-21. 9. Vaidya PM, Mulgaonkar KP. Prevalence of depression, anxiety and stress in undergraduate medical students and its correlation with their academic performance. Indian J of Occup Ther. 2007;39:7-10. 10. Dahlin ME, Runeson B. Burnout and psychiatric morbidity among medical students entering clinical training; a three year prospective and interview passed study. BMC Med Educ. 2007;7:6. 11. Yadav R, Gupta S, Malhotra AK. A cross-sectional study on depression, anxiety and their associated factors among medical students in Jhansi, Uttar Pradesh, India. Int J Community Med Public Health. 2016;3:1209-14. 12. Sidana S, Kishore J, Ghosh V, Gulati D, Jiloha RC, Anand T. Prevalence of depression in students of a medical college in New Delhi: A cross-sectional study. AMJ 2012;5:247-250. Cite this article as: Hakim A, Tak H, Nagar S, Bhansali S. Assessment of prevalence of depression and anxiety and factors associated with them in undergraduate medical students of Dr. S. N. Medical College, Jodhpur. Int J Community Med Public Health 2017;4:3267-72. International Journal of Community Medicine and Public Health September 2017 Vol 4 Issue 9 Page 3272