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    Indian Journal of Medical Sciences, Vol. 66, No. 1 and 2, January and February 2012

    STRESS AND ITS RISK FACTORS IN MEDICAL STUDENTS: AN

    OBSERVATIONAL STUDY FROM A MEDICAL COLLEGE IN INDIA

    MADHUMITA NANDI, AVIJIT HAZRA1, SUMANTRA SARKAR, RAKESH MONDAL2,MALAY KUMAR GHOSAL3

    ABSTRACT

    OBJECTIVES: Stress in medical students is well established. It may affect academic

    performance and lead to anxiety, depression, substance abuse, and burnouts. There

    is limited data on stress in Indian medical students. We conducted an analytical

    observational study to assess the magnitude of stress and identify possible stressors

    in medical students of a teaching hospital in Kolkata.MATERIALS AND METHODS:This

    questionnaire-based study was conducted in the Institute of Post Graduate MedicalEducation and Research, Kolkata with consenting undergraduate students of 3 rd,

    6th, and 9th (final) semesters, during lecture classes in individual semesters on a

    particular day. The students were not informed about the session beforehand and were

    assured of confidentiality. The first part of the questionnaire captured personal and

    interpersonal details which could be sources of stress. The rest comprised three rating

    scales the 28-item General Health Questionnaire to identify the existence of stress,

    the WarwickEdinburgh mental well-being scale to assess the mental well-being, and

    the revised version of the Lubben social network scale to assess the social networking.

    The responses and scores were compared between the three semesters as well asbetween various subgroups based on baseline characteristics. RESULTS: Data from

    215 respondents were analyzed approximately 75% were male, 45% came from

    rural background, 25% from low-income families, and 60% from vernacular medium.

    Totally, 113 (52.56%; 95% confidence interval: 43.35-61.76%) students were found to

    be stressed, without significant difference in stress incidence between the semesters.

    About 60% of the female students were stressed in contrast to 50% of the males, but

    this observed difference was not statistically significant. The mental well-being and

    social networking of stressed respondents suffered in comparison to their non-stressed

    counterparts. CONCLUSIONS:The stress incidence in medical students in this institution

    ORIGINAL ARTICLE

    Departments of Pediatrics, and 1Pharmacology, Instituteof Postgraduate Medical Education and Research,Kolkata, 2Department of Pediatrics, North Bengal MedicalCollege, Darjeeling, 3 Department of Psychiatry, MedicalCollege, Kolkata, West Bengal, India

    Address for correspondence:Dr. Madhumita Nandi,6/6, Naren Sarkar Road, Barisha,Kolkata - 700 008, India.

    E-mail: [email protected]

    Access this article online

    Quick Response Code: Website:

    www.indianjmedsci.org

    DOI:

    10.4103/0019-5359.110850

    PMID:

    *****************************

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    2 INDIAN JOURNAL OF MEDICAL SCIENCES

    Indian Journal of Medical Sciences, Vol. 66, No. 1 and 2, January and February 2012

    INTRODUCTION

    Stress in medical students is an established

    phenomenon encountered worldwide and such

    students seem to be under duress at all stages

    of their academic career, including pre-clinical,

    paraclinical, and clinical years.[1-4]Their overall

    psychological distress is consistently higher

    than in the general population and may impact

    on their academic performance.[5,6]Stress may

    foster anxiety, substance abuse, burnouts

    leading to abandonment of studies, depression,

    and even suicidal ideation.[3,7,8]

    There are many possible stressors to which

    medical students may be exposed. [9,10] The

    pressure of a rigorous academic curriculumcoupled with frequent examination schedule

    is an obvious factor. Various other perceived

    sources of stress include personal factors

    such as staying away from family, adjustment

    to unfavorable hostel conditions, parental

    expectations, etc., The medical education

    system in India and the infrastructure in

    medical colleges are generally not conducive

    to amelioration of distress or facilitation of

    coping. In fact, despite occasional reports,[11-14]

    there are limited data regarding the magnitude

    of the problem itself from the whole of the

    country in general and eastern India in

    particular. In view of the rapid pace at which

    new medical institutions are coming up in India,

    it is important to generate data regarding the

    magnitude of student distress and its impact

    on academic performance, dropout rates, and

    professional development.

    With this background, this study was conceived

    as an analytical observational study to assess

    the level of stress in medical students in a

    teaching hospital in India, during various stages

    of their MBBS course, and to identify factors

    potentially responsible for inducing stress.

    MATERIALS AND METHODS

    The population for this study comprised all

    undergraduate (MBBS) medical students of

    3rd, 6th, and 9th (nal) semesters of the Institute

    of Post Graduate Medical Education and

    Research, Kolkata. All students present in theirrespective class on the day of the study were

    included. The participants were informed about

    the nature and purpose of the study and were

    assured of condentiality. It was explained that

    responding to the questionnaire was voluntary

    and there would be no monetary or other direct

    benets from participation. Written informed

    consent was obtained from each participant.

    Those who refused were to be excluded. The

    study protocol received clearance from the

    Institutional Ethics Committee.

    Permission was taken beforehand from

    the teacher concerned on the day of the

    study and the last 25 min of a 1-h lecture

    class was utilized for conducting the survey.

    The students were not informed about the

    in India is high and is negatively affecting their mental well-being. Further multicentric

    and longitudinal studies are needed to explore the incidence, causes, and consequences

    of stress in our setting.

    Key words:28-item general health questionnaire, medical students, revised Lubben social

    network scale, stress, student distress, WarwickEdinburgh mental well-being scale

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    session beforehand. Those agreeing to

    participate were asked to ll up a pretested

    anonymous questionnaire to capture personal

    data (excluding name and age), academic

    performance, and stress inducing physical,

    emotional, and social factors. These included

    information on gender, percentage score in

    last university examination, average monthly

    family income, rural or urban background,

    medium of study in school, whether staying

    in hostel, and the number of siblings. The

    rest of the questionnaire comprised three

    checklists the 28-item General Health

    Questionnaire (GHQ-28), WarwickEdinburgh

    mental well-being scale (WEMWBS), andrevised version of the Lubben social network

    scale (LSNS-R).

    The GHQ-28[15,16]was used to assess current

    mental health. This questionnaire was originally

    developed by Goldberg et al. in 1979,[15] as

    a 60-point screening questionnaire. Since

    then it has been extensively used in different

    sociocultural settings and in different abridged

    forms. The GHQ-28 was designed from the

    results of principal components analysis

    based on the original GHQ. Its advantage

    is that it assesses changes in individuals

    daily functioning related to distress and not

    personality characteristics. The GHQ-28

    has four subscales: Depression, anxiety,

    somatic symptoms, and social withdrawal.Each subscale contains seven items. The

    respondent has to answer whether he or

    she has experienced a particular symptom

    or behavior recently. Each item is rated on a

    four-point scale typically designated as not

    at all, no more than usual, rather more than

    usual, or much more than usual and the

    bi-modal (0-0-1-1) scoring method is commonly

    used to estimate the occurrence of stress

    related to the item. Total score can range from

    0 to 28. Total scores that exceed 4 out of 28

    suggest caseness or distress. GHQ-28 is the

    most well-known and popular version of the

    GHQ. Adaptations of GHQ-28 have been used

    in various countries and in various settings.[17-19]

    The WEMWBS is a measure of mental

    well-being focusing entirely on positive aspects

    of mental health.[20,21] The scale consists of

    14 items covering both hedonic and eudemonic

    aspects of mental health including positive

    affect (feelings of optimism, cheerfulness,

    and relaxation), satisfying interpersonalrelationships and positive functioning (energy,

    clear thinking, self-acceptance, personal

    development, competence, and autonomy).

    Respondents are required to select the

    response that best describes their experience

    of each statement over the past 2 weeks on a

    5-point Likert scale none of the time, rarely,

    some of the time, often, and all of the time.

    All items are scored positively and the score

    on each item ranges from 1 to 5. The overall

    score is calculated as sum of the scores for

    individual items, with equal weights, implying a

    minimum possible score of 14 and maximum of

    70. A higher WEMWBS score thus indicates a

    higher level of mental well-being.

    The LSNS-R was used to gauge perceivedsocial support received from family and friends.

    It was originally developed in 1988 and was

    revised in 2002.[22,23] The total score on this

    scale comprises an equally weighted sum

    of scores on 12 items used to assess size,

    closeness, and frequency of contacts in a

    respondents social network. All items measure

    the level of perceived support received from

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    Indian Journal of Medical Sciences, Vol. 66, No. 1 and 2, January and February 2012

    either family or friends, and the scores on

    each item range from 0 to 5, with 0 indicating

    minimal social integration and 5 indicating

    substantial social integration. The total score

    can therefore range from 0 to 60, with higher

    scores indicating a greater level of social

    support and lower risk for isolation. A score

    less than 20 may indicate that the person has

    extremely limited social networking and is at

    high isolation risk.

    Statistical analysis

    The data were rst transcribed to an MSExcel

    spreadsheet and then analyzed by Statistica

    version 6 [Tulsa, Oklahoma: StatSoft Inc.,2001] and MedCalc version 11.6 [Mariakerke,

    Belgium: MedCalc Software, 2011] statistical

    software. Scores were not normally distributed

    and have therefore been summarized by

    median and interquartile range, in addition to

    mean and standard deviation. Key proportions

    have been expressed with 95% confidence

    interval (95% CI). Subgroup comparisons

    have been done between the three semesters

    and by baseline characteristics. Scores

    have been compared between subgroups by

    MannWhitney U test (for 2-group comparison)

    or KruskalWallis analysis of variance followed

    by Dunns test for post hoc comparison (for

    more than 2-group comparison). Categorical

    data have been compared between subgroups

    by Fishers exact test, with FreemanHaltonextension where necessary. All analyses

    have been two-tailed andP< 0.05 has been

    considered statistically signicant.

    RESULTS

    The institute has approximately 100 students

    per year. None of the students present in class

    on the day of the study refused participation,

    but the response sheets of only those who had

    lled up all four sections of the questionnaire

    were analyzed. The responses of 74 students

    in 3rd semester, 40 students in 6thsemester,

    and 101 students in the 9 th semester were

    analyzed (Total n= 215).

    Table 1 shows the general characteristics

    of the study population. It is noteworthy that

    approximately 75% of the respondents were

    male, 45% were coming from rural background,

    25% from low-income (

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    and 60% were unsatised with the available

    social and recreational opportunities.

    The frequency of these stressors was

    equally applicable to all the three semesters

    studied with few exceptions. Peer rivalry

    appeared to peak during the nal semester

    of study, while tension from political conicts

    appeared to affect the 6thsemester students

    most. There was no gender difference with

    respect to the impact of these stressors, with

    one exception. Of the 160 male students,

    45 (28.13%) came from low-income families

    in contrast to 8 (14.55%) of the 55 female

    students (P = 0.047). Correspondingly,

    52 (32.50%) of the male students felt

    that financial constraints were negatively

    influencing their academic performance,

    in contrast to 9 (16.36%) of the female

    students (P= 0.024).

    There were no signif icant di f ferences

    with respect to the occurrence of these

    stress- inducing factors and basel ine

    characteristics in the study participants, namely

    with respect to ruralurban background,

    stay in hostel versus home, English versus

    vernacular medium background, and

    presence or absence of siblings. However,

    students from a rural background were more

    Table 1: General characteristics of study cohort

    Characteristic Overall(n=215) (%)

    Semester 3(n=74) (%)

    Semester 6(n=40) (%)

    Semester 9(n=101) (%)

    P value

    Male gender 160 (74.42) 52 (70.27) 26 (65.00) 82 (81.19) 0.082

    Rural background 95 (44.18) 28 (37.84) 14 (35.00) 53 (52.48) 0.071

    Staying in hostel 152 (70.69) 54 (72.97) 24 (60.00) 74 (73.27) 0.270

    Studied earlier in vernacular medium 129 (60.00) 42 (56.76) 20 (50.00) 67 (66.34) 0.156

    From low-income families 53 (24.65) 14 (18.92) 10 (25.00) 29 (28.71) 0.342

    No siblings at home 66 (52.80) 30 (40.54) 9 (22.50) 27 (26.73) 0.071

    ThePvaluein the last column is from comparison between the three semesters by Fishers exact test (with Freeman-Haltonextension)

    Table 2: Perceived frequency of individual stressors

    Specifc question Overall(n=215) (%)

    Semester 3(n=74) (%)

    Semester 6(n=40) (%)

    Semester 9(n=101) (%)

    P value

    Do you feel your socioeconomic status is coming inthe way of better performance in studies?

    61 (28.37) 18 (24.32) 10 (25.00) 33 (32.67) 0.463

    Are you satised with hostel/canteen facilities? 26 (12.09) 9 (12.16) 2 (5.00) 15 (14.85) 0.269

    Are you satised with the library facilities? 49 (22.79) 20 (27.03) 6 (15.00) 23 (22.77) 0.347Are you satised with the examination system? 66 (30.70) 30 (40.54) 10 (25.00) 26 (25.74) 0.082

    Do you feel there is excessive parental pressure toperform better?

    31 (14.41) 10 (13.51) 7 (17.50) 14 (13.86) 0.816

    Do you feel there is excessive competitive attitudeamong students?

    137 (63.72) 46 (62.16) 24 (60.00) 67 (66.34) 0.732

    Do you feel there is unhealthy peer rivalry andjealousy among students?

    127 (59.06) 37 (50.00) 20 (50.00) 70 (69.31) 0.015

    Do you feel the situation in the campus has becomeunhealthy due to excessive student politics?

    174 (80.93) 58 (78.38) 38 (95.00) 78 (77.23) 0.030

    Are you involved in a serious romantic relationship? 85 (39.53) 22 (29.73) 15 (37.50) 48 (47.52) 0.057

    Are you satised with the social life/recreational

    activities in college campus?

    84 (39.06) 27 (36.49) 15 (37.50) 42 (41.58) 0.794

    ThePvalue in the last column is from comparison between the three semesters by Fishers exact test (with Freeman-Haltonextension)

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    likely than urban students to be staying in

    hostel (P< 0.001), coming from a vernacular

    medium background (P< 0.001), and belonging

    to low-income families (P= 0.007), although

    they did not feel that these factors impacted

    their performance more than their urban

    counterparts (32.63% for rural vs. 25.00% for

    urban,P= 0.227).

    On analyzing the GHQ-28 scores of the three

    semesters separately, 35 students of 3 rd

    semester (47.30%), 24 of 6thsemester (60.0%),

    and 54 of 9 th semester (53.47%) scored

    5 or more by bi-modal method. So a total

    of 113 (52.56%; 95% CI 43.35-61.76%)students scored in the positive range of

    stress by GHQ-28. Although the percentage

    of stressed students in each semester was

    quite high, there was no statistically signicant

    difference in stress incidence on comparing

    the three semesters (P= 0.480). By the same

    parameter, 50% of the male respondents and

    60% of the female respondents were stressed,

    though this observed difference was not

    statistically signicant (P= 0.214). As depicted

    in Table 3, there was also no statistically

    signicant difference in the incidence of stress

    by the other baseline characteristics, with the

    incidence being approximately 50% in each of

    the baseline subgroups.

    The numerical scores obtained by the various

    instruments are summarized in Table 4.

    With the exception of GHQ-28 anxiety

    subscale score, which peaked in the final

    semester and the LSNS-R friend component

    score, which was least in the 6th semester,

    there was no difference in scores across the

    three semesters. There was no gender wise

    difference in GHQ-28, WEMWBS, or R-LSNS

    scores. There was also no signicant difference

    in scores by ruralurban background, by hostel

    versus home stay, low-versus high-income

    families, and sibling status. In the R-LSNS

    ratings, respondents who had studied in a

    vernacular medium had higher median scorefor the family component and lower score

    for the friends component than their urban

    counterparts, and these differences were

    statistically signicant (P= 0.014 and 0.040,

    respectively). However, the median total scores

    were comparable (P= 0.663).

    Finally, Table 5 summarizes the scores

    obtained by stressed and non-stressed study

    participants on the WEMWBS and revised

    LSNS-R. As expected, the mental well-being

    and social networking of stressed respondents

    suffered in comparison to the non-stressed

    students. Also, as expected, GHQ-28 total

    score showed strong but negative correlation

    Table 3: Frequency of stress occurrence (by score >4 on 28-item General Health Questionnaire) in various

    baseline subgroups

    Subgroup Number stressed (%) Subgroup Number stressed (%) P value

    Male (n=160) 80 (50.00) Female (n=55) 33 (50.00) 0.214

    Rural background (n=95) 54 (56.84) Urban background (n=120) 59 (49.17) 0.275

    Staying in hostel (n=152) 81 (53.29) Staying at home (n=63) 32 (50.79) 0.766

    Vernacularmedium (n=129)

    45 (52.33) English medium (n=86) 68 (52.71) 1.000

    Low-income family (n=53) 27 (50.94) Low-income family (n=162) 86 (53.09) 0.874

    No siblings at home (n=66) 32 (48.48) Siblings at home (n=149) 81 (54.36) 0.461

    ThePvalue in the last column is from comparison between the two subgroups concerned by Fishers exact test

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    with the WEMWBS in the study cohort as a

    whole [Figure 1] (Spearmans rank correlation

    coefficient 8.21), although the correlation

    with LSNS-R score was poor (Spearmans

    rank correlation coefcient 3.11). There wasdirect and good correlation (Spearmans rank

    correlation coefcient 5.04) between mental

    well-being and social networking scores.

    DISCUSSION

    Assessing the stress burden in medical

    students is important and such assessment

    would be the rst step towards institution of

    remedial measures. There is increasing interest

    in the concept of positive mental health and

    its contribution to all aspects of human life.

    The World Health Organization has declared

    positive mental health to be the foundation for

    well-being and effective functioning for both

    the individual and the community and dened

    it as a state which allows individuals to realize

    Table 4: Summary of scores obtained by study cohort on various study instruments

    Scale Overall(n=215)

    Semester 3(n=74)

    Semester 6(n=40)

    Semester 9(n=101)

    P value

    GHQ-28 somatic subscale score 2.01.98 2.02.09 1.0 1.51.58 2.12.02 0.223

    1.0 (0.0-3.0) (0.0-3.0) 1.0 (0.0-2.0) 2.0 (0.0-4.0)

    GHQ-28 anxiety subscale score 2.62.23 2.12.00 2.42.07 3.02.38 0.035

    2.0 (1.0-4.0) 2.0 (0.0-4.0) 2.0 (1.0-4.0) 3.0 (1.0-5.0)

    GHQ-28 social dysfunction subscale score 1.91.84 1.61.45 2.31.97 2.02.00 0.364

    1.0 (0.0-3.0) 1.0 (0.5-2.0) 2.0 (0.5-4.0) 1.0 (0.0-3.0)

    GHQ-28 depression subscale score 1.11.57 0.91.34 1.51.89 1.11.59 0.495

    0.0 (0.0-2.0) 0.0 (0.0-1.0) 1.0 (0.0-2.5) 0.0 (0.0-2.0)

    GHQ-28 total score 7.45.87 6.55.17 7.65.91 8.16.29 0.398

    6.0 (2.0-12.0) 5.0 (3.0-8.0) 7.5 (2.0-11.5) 6.0 (2.0-13.0)

    Warwick-Edinburgh mental well-being scale 50.310.92 50.79.24 47.89.87 51.012.33 0.093

    51.0(44.0-58.0)

    51.0(45.0-56.0)

    49.0(42.0-54.0)

    53.0(44.0-59.0)

    Revised Lubben social network scale-familycomponent score

    14.56.16 15.06.98 14.55.39 14.25.85 0.573

    14.0

    (11.0-19.0)

    16.0

    (9.0-20.0)

    14.0

    (11.0-19.0)

    14.0

    (11.0-17.0)Revised Lubben social network scale-friendscomponent score

    18.05.89 19.95.13 16.76.4 17.25.90 0.005

    18.0(15.0-22.0)

    20.5(17.0-24.0)

    18.0(12.0-21.0)

    17.0(13.5-21.0)

    Revised Lubben social network scale-totalscore

    32.59.88 34.810.33 31.110.16 31.49.22 0.073

    32.0(26.0-39.0)

    35.5(27.0-43.0)

    33.0(24.0-40.0)

    31.0(27.0-37.0)

    GHQ-28=General health questionnaire-28-item version, Values depict meanstandard deviation and median (interquartile range),TheP valuein the last column is from comparison between the three semesters by Kruskal-Wallis test

    Table 5: Comparison of scores obtained by

    stressed (by score >4 on 28-item General Health

    Questionnaire) and non-stressed study participants

    Specifc question Stressed(n=113)

    Non-stressed(n=102)

    P value

    Warwick-Edinburgh mentalwell-being scale

    46.610.78 54.49.59

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    their abilities, cope with the normal stresses of

    life, work productively and fruitfully, and make

    a contribution to their community.[24,25] The

    capacity for mutually satisfying and enduring

    relationships is another important aspect of

    positive mental health. Therefore in our study,

    we assessed the stress burden in conjunction

    with mental well-being and social networking.

    There is no single universally accepted

    instrument to quantify stress in medical

    students. In addition to GHQ-28, various

    other rating scales have been used, such as

    the medical student stress prole[26] and the

    Maslach burnout inventory-student survey.[27]

    However, the later scales have not been

    used widely in different sociocultural contexts.

    Biomarkers have also been employed, such

    as blood pressure, salivary cortisol, circulating

    cytokines, and sperm count, but these are more

    in the context of acutely stressful events such

    as impending examinations.[12,28-30]

    We therefore

    settled for GHQ-28 which is not restrictive

    to the context of an individual being solely a

    medical student rather than a member of the

    community in general. The GHQ is actually

    available in multiple versions including 12,

    28, 30, or 60 items. The 28-item version is

    used most widely. This is not only because

    of time considerations but also because

    it has been used most widely in various

    working populations, allowing for more valid

    comparisons.

    We included three different semesters

    in our study as our intention was also to

    examine whether the magnitude or profile

    of stress change with advancement of the

    academic career through predominantly

    pre-cl in ical (3 rd semester 2 nd year),

    mixed (6 th semester 3 rd year) , and

    predominantly clinical (9thsemester 5thyear)

    involvements. First-year medical students were

    deliberately left out as we felt that they were

    yet to be exposed to the full extent of the stressburden and were unlikely to have evolved

    personal coping strategies. As it turned out, the

    extent of stress and the possible determinants

    appeared to be uniformly distributed for

    students of all three semesters, unlike in an

    earlier Indian study where stress was more

    in the latter years compared to the 1styear of

    study.[14]

    This questionnaire-based survey revealed

    a high rate of stress and emotional distress

    in medical students, affecting 52.56% of

    those studied. An earlier study on Indian

    medical undergraduates, published more

    than 10 years back, had revealed stress in an

    even higher proportion (73%) of students. [14]

    Studies from Iran[31]

    and Saudi Arabia[32]

    report

    Figure 1: Scatter plot depicting correlation between28- i tem Genera l Hea l th Ques t ionna i re and

    WarwickEdinburgh mental well-being scale scores inthe study cohort. The regression line is shown

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    stress in over 60% of respondents. An US

    study suggested psychiatric illness in 15-20%

    of medical students needing some kind of

    medical intervention.[33] A study on British

    medical students, reported an incidence of

    emotional disturbances in 31.2% of students.[34]

    Some other studies have also revealed high

    prevalence of depression and anxiety among

    medical students, with levels of overall

    psychological distress consistently higher than

    in the general population.[4-8]

    A higher percentage of female students

    confessed to have stress compared to their

    male counterparts, though the difference was

    not statistically signicant. Some other studies

    have also revealed higher prevalence of stress

    in female students,[32-35] though the previously

    mentioned Indian study does not reveal any

    gender predilection.[14]Higher prevalence of

    stress in female students could be due to their

    experience of working in an environment still

    largely populated by men than women, thoughthis scenario has changed considerably over

    the years.

    The possible inducers of stress in medical

    students could be infrastructural factors such

    as unsatisfactory living conditions in the hostel

    and inadequate library facilities, academic

    factors such as pressure of studies and

    frequent examinations, and interpersonal

    factors such as excessive competitive attitude

    among students, political conicts, and jealousy

    and peer rivalry over love affairs, all of which

    could come in the way of natural friendship

    and cooperation. Limited data are available

    regarding the exact contribution of these

    factors to student distress and its impact on

    academic performance, dropout rates, and

    professional development. [1,36] Low-income

    family is another factor and socioeconomic

    disparity among students, whether real or

    perceived, could add to the difculties and the

    emotional turmoil. However, it is noteworthy

    that the extent of stress appeared to remain

    at the same level in all the subgroups in our

    study based on presence and absence of

    these individual stressors. Such wide range of

    stressors and additional ones have also been

    reported in earlier studies. In a recent survey

    on seven US medical schools, the authors

    found a distinct relationship between pass/fail

    grading and curriculum structure with well-being

    among pre-clinical medical students.[37] The

    British study identied talking to patients and

    presenting cases, dealing with death and

    suffering, and relationship with consultants

    as common factors inducing stress in medical

    students.[34]

    Stress in medical students can have

    professional ramications, including damagingeffects on empathy, ethical conduct, and

    professional ism, as wel l as personal

    consequences such as substance abuse,

    burnouts, broken relationships, and suicidal

    ideation. Therefore, it is the responsibility of

    the society in general and medical schools

    in particular, to acknowledge stress among

    future doctors, identify sources of stress,

    assess the individual students coping ability,

    and undertake alleviatory measures.[38] Some

    of the suggested stress reducing measures

    could be improving the living conditions

    and infrastructural facilities available to

    students; reducing the incidence of campus

    conicts; giving more importance to ongoing

    academic performance rather than on marks

    obtained in summative evaluations; and

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    10 INDIAN JOURNAL OF MEDICAL SCIENCES

    Indian Journal of Medical Sciences, Vol. 66, No. 1 and 2, January and February 2012

    ensuring availability of well-trained student

    counselors and specic programs to promote

    stress resilience and self-care in medical

    students. [2,4,6,39,40] Our study revealed a

    direct correlation between mental well-being

    and social networking scores. Therefore,

    encouraging measures to improve social

    networking on campus, such as college

    festivals and sports, are also important

    stress-alleviating measures. Efforts to reduce

    student distress should be viewed as an

    essential component of broader programs to

    promote overall student well-being.

    Our study has its share of shortcomings.

    Although we included over 40% of the students

    currently on our institutions rolls, conducting

    the study as a multicentric survey would have

    improved the generalizability of the ndings.

    We were unfortunate that on the particular

    survey date, we could obtain analyzable data

    from

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    11STRESS IN MEDICAL STUDENTS

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    How to cite this article:Nandi M, Hazra A, Sarkar S, MondalR, Ghosal MK. Stress and its risk factors in medical students: Anobservational study from a medical college in India. Indian J MedSci 2012;66:1-12.Source of Support: Nil. Conict of Interest:None declared.

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