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Intelligence quotient analysis and its association with academic performance of medical students

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Background: Intelligence is the ability to see meaningful relationships between things that includes perceiving, knowing, reasoning and remembering. The study was done to know the duration of preparation, self study hours, academic performance and its association with IQ level of medical students, to state how to shorten the duration of completing MBBS degree. Methods: A cross sectional study done on 300 medical students using structured questionnaire derived from I Q test.com. Data collection and appropriate statistical test were applied considering p value ≤ 0.05 as significant. Results: Most of the medical students had near average intelligence (88.3%) , they undergone one to two years preparation for medical entrance exams and devoted much time (>6 hrs) in studies. 10% of the students had higher IQ, spare less time in their self study but were sincere in the classes. Conclusion: Students with near average IQ work hard in their studies and their academic performance was similar to students with higher IQ. So IQ can`t be made the basis for medical entrance; instead giving weight-age to secondary school results and limiting the number of attempts may shorten the time duration for entry and completion of MBBS degree.
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International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 275
International Journal of Community Medicine and Public Health
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
http://www.ijcmph.com
pISSN 2394-6032 | eISSN 2394-6040
Research Article
Intelligence quotient analysis and its association with academic
performance of medical students
Veena Yesikar1, Sunil Kant Guleri2*, Sanjay Dixit1, Rahul Rokade1, Sachin Parmar1
INTRODUCTION
In India Since independence, universal and affordable
health which is central to the planning of the health
system, 1 has been failing due to lack of qualified health
care providers specially doctors and nurses. According to
census (2001) there are only 3·8 allopathic doctors, and
2·4 nurses and nurse-midwives per 10 000 people. 2 even
now we are not in a position to train the adequate number
of doctors. The reason may be of lack of infrastructure or
long duration of MBBS course or else.
Though MBBS is five and half (5+1/2) year’s course, but
it takes nearly 7 to 8 years for a matriculated student to
complete the MBBS degree. The reason has been 2 to 3
years preparation for medical entrance, and time expenses
due to failures in MBBS semester exams. To find relation
between students IQ and time lapsed by them for medical
entrance exam preparation and during actual course due
to failures, the study has been conducted. The study
interrogated about number of attempts by students for
medical entrance, their self study hours, and attempts in
semester exams. The basic purpose was to analyse
whether inclusion of IQ tests in the medical entrance will
be able to reduce the years for getting MBBS degree (by
selecting students with higher IQ).
Secondly IQ is also of importance to medical students,
because they are future physicians and will face complex
and novel situations in which a quick, and complex,
ABSTRACT
Background: Intelligence is the ability to see meaningful relationships between things that includes perceiving,
knowing, reasoning and remembering. The study was done to know the duration of preparation, self study hours,
academic performance and its association with IQ level of medical students, to state how to shorten the duration of
completing MBBS degree.
Methods: A cross sectional study done on 300 medical students using structured questionnaire derived from I Q
test.com. Data collection and appropriate statistical test were applied considering p value ≤ 0.05 as significant.
Results: Most of the medical students had near average intelligence (88.3%) , they undergone one to two years
preparation for medical entrance exams and devoted much time (>6 hrs) in studies. 10% of the students had higher
IQ, spare less time in their self study but were sincere in the classes.
Conclusion: Students with near average IQ work hard in their studies and their academic performance was similar to
students with higher IQ. So IQ can`t be made the basis for medical entrance; instead giving weight-age to secondary
school results and limiting the number of attempts may shorten the time duration for entry and completion of MBBS
degree.
Keywords: Genius, Intelligence, Medical, Performance, Quotient
1Department of Community Medicine, MGM Medical College, Indore, Madhya Pradesh, India
2Department of Community Medicine, Bundelkhand Medical College, Sagar, Madhya Pradesh, India
Received: 28 May 2015
Revied: 15 June 2015
Accepted: 13 July 2015
*Correspondence:
Dr. Sunil Kant Guleri,
E-mail: drsunilmdpsm@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.
DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20150482
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 276
decision is warranted, they may be prone to poor problem
solving and attention to critical detail, rendering them
vulnerable to errors in judgment. The poor problem
solving and decision making hampers doctor- patient
relationship and patient satisfaction.
Intelligence: Intelligence is the ability to see meaningful
relationships between things. It includes perceiving,
knowing, reasoning and remembering. There is
considerable relationship between a person's degree of
intelligence and range of activities, the level of
achievement and the depth of understanding possible to
him. Terman and Gessel defined intelligence as the
capacity to use abstract ideas for solving problems.3
Intelligence Quotient: In 1912, the German psychologist
William Stern coined the abbreviation "I.Q.," a
translation of the German Intelligent-Quotient
("intelligence quotient), proposing that an individual's
intelligence level can be measured as a quotient of their
estimated "mental age" and their chronological age.4
Intelligence Quotient = Mental Age
chronological age
When the mental age is the same as chronological age,
the IQ is 100. The higher the IQ, the more brilliant is the
child. 80 per cent of people have an IQ of or near
100.categorization of different cognitive states based on
IQ is given in (Table 1).
Table 1: Individual’s categorisation in different
cognitive states based on their IQ.
Levels of Intelligence
IQ Range
Idiot 0-24
0-24
Imbecile
25-49
Moron
50-69
Border Line
70-79
Low normal
80-89
Normal
90-109
Superior
110-119
Very Superior
120-139
Near Genius
140 and above
IQ Score: The first IQ tests were designed to compare a
child's intelligence to what his or her intelligence "should
be" as compared to the child's age. If the child was
significantly "smarter" than a "normal" child of his or her
age, the child was given a higher score, and if the child
scored lower than expected for a child of his or her age,
the child was given a lower IQ score.5
Intelligence tests: Most of the intelligence tests are
measures of performance. However, the term
performance is customarily applied to tests which call for
a minimal understanding and use of language. These tests
provide a measure of fundamental psychological process,
such as reasoning and seeing relationship, without at the
same time depending upon particular cultural or
educational opportunities. The different tests and scales
used are6:
1. Binet-Simon scale3,7
2. Reynolds Intellectual Assessment Scales8 (RIAS)
3. Composite Intelligence Index9 (CIX)
4. Web based IQ tests6: Queendom.com’s classical
intelligence test, Tickle.com’s classic IQ test and
IQTest.com’s intelligence test.
We in this study have used IQTest.com’s intelligence
test. This Intelligence Test contains 38 questions and
utilizes 13 intelligence scales: arithmetic, algebraic, rote
utilization, logical, visual apprehension, spatial skill,
intuition, general knowledge, vocabulary, short term
memory, spelling, geometric, and computational speed.
METHODS
This is a cross sectional study done in a government
autonomous medical college, in central India from
August 2013 to December 2013. Each admission batch
for MBBS had 150 medical students and 5 such batches
run in the college. Students from middle batches were
selected purposefully to avoid recall bias among older
batches and newly admitted batch had no exposure of
semester exams. All the students from junior final and
Second Profs (batch 2012, 2011 and 2010) including
students from detained batches were invited for the
survey/questionnaire and finally 300 students with
completed questionnaire were selected. Pre-tested
performa were included for analysis of data,
incomplete/partially completed Performa were rejected.
The study was a part of teaching programme for
undergraduate medical students in research methods
initially which was finalised for further research.
Study tool: all the selected students were informed about
the purpose of study and verbal consent was taken. A
structured questionnaire derived from the I Q test.com
with other semi-structured questionnaire about personal
profile and study profile was administered to them. First
of all questionnaire of personal profile was administered
which was to be completed in 10 minutes. After this IQ
test questionnaire was administered and time taken by
each individual to complete this questionnaire was
recorded. The scoring of IQ level is given in (Table 2).
Table 2: Interpretation of IQtest.com score.
Time
scoring
Intelligence
interval
Cognitive
designation
>30 min
5marks
Each
question
carries 3
marks.
Maximum
marks
40-54
Severely
challenged
25-30
min-
10marks
55-69
Challenged
20-
70-84
Below
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 277
25min-
15 marks
average
15-
20min-
20 marks
85-114
Average
11-
13min.-
45marks
115-129
Above
average
<11min-
60marks-
130-144
Gifted
145-159
Genius
Maximum total score:
60+114=174
160-175
Extraordinary
genius
The data was collected in excel spread sheets, and
analysed using statistical software (SPSS version 20) and
online statistical test calculators. Appropriate tests of
significance were applied at suitable places and p value
0.05 was considered significant.
RESULTS
The study was done on 300 medical students 140 boys
and 160 girls. The mean age of the subjects was 22.67
years.
On application of IQ test.com 5 (1.7%) subjects had
below average IQ, 150 (50%) subjects had average IQ
and only 30 (10%) had above average/genius/
extraordinary IQ. The academic performance of students
with average IQ was highest and that of below average
IQ was poorest among all. The academic performance
had no positive or negative correlation with IQ level of
students (Table 3). The IQ level of male and female
students was similar without any significant difference
(Chi-square = 1.74, degrees of freedom = 5 probability =
0.884, P>0.05).
All the Students with higher IQ (extra ordinary, genius
and gifted) were from well to do families i.e. upper and
upper middle class.10 35(30%) students with above
average IQ, 64 (43%) students with average IQ and 4
(80%) students with below average IQ belong to lower
middle and upper lower classes families. Only9 (3%)
students belong to lower class family, they had above
average IQ.
Only 28 (9.3%) students were able to crack medical
entrance exam in their first attempt (fresher) and got
admission in MBBS course. Among these 26 (92.8%)
students had above average/genius/gifted/extraordinary
IQ and only 02 (7.2%) students had average IQ. Most of
the medical students (169, 56.3%) taken one year drop
for medical entrance preparation. These students had
average IQ (78) above average IQ (85). 33 (11%)
students needed more than 2 years for medical entrance
exam preparation, 30 (90.9%) of them had average and
below average IQ (Table 4).
All the students with higher IQ (gifted/genius/
extraordinary) spent less than six hours for study and rest
of the time in sports and extra-curricular activities.
Among 115 students with above average IQ, 37 (32.2%)
spent less than six hours and 78(67.8%) more than six
hours for their studies per day. Among students with
average IQ 54 (36%) spent less than 6 hrs and 96 (64%)
more than six hrs for their study (Table 5).
MBBS students had daily classes of six hrs for theory and
clinical work. Students were keen to attend their classes,
276 (92%) were regular, and others were
irregular/occasional attendees. All the students with
higher IQ (gifted / genius/extraordinary) were regular in
their classes. The irregular/occasional attendees had
above average/ average or below average IQ (Table 6).
Table 3: IQ level of medical students and their academic performance.
S.
No.
IQ category
Males*
Females*
Total
(N)
Percent
Avg.
Percentage
in
previous
prof
1.
Extraordinary
Genius
2
3
5
1.7
61
2.
Genius
6
4
10
3.4
58
3
Gifted
7
8
15
5
60.3
4
Above
average
50
65
115
38.3
59.5
5
Average
72
78
150
50
64.15
6.
Below
average
3
2
5
1.7
57
Total
140
160
300
100
59.99
*Chi-square = 1.74, degrees of freedom = 5 probability = 0.884, P>0.05
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 278
Table 4: IQ level compared to number of years of preparation for entrance examination
for medical course.
S.
No.
IQ category
Fresher
1 year
drop
2 years
drop
More
than
2
years
Total
N
1.
Extraordinary
Genius
04
01
0
0
5
2.
Genius
6
2
2
0
10
3
Gifted
12
1
1
1
15
4
Above
average
04
85
24
2
115
5
Average
02
78
42
28
150
6.
Below
average
-
2
1
2
5
Total
28
(9.3%)
169
(56.3%)
70
(23.3%)
33
(11%)
300
(100%)
Table 5: Number of self study hours by students on a daily basis.
S.no.
IQ category
0-2
hrs
2-4hrs
4-6hrs
> 6hrs
Total
1
Extraordinary
Genius
0
2
3
0
5
2
Genius
2
4
4
0
10
3
Gifted
7
8
0
0
15
4
Above
average
1
14
22
78
115
5
Average
0
10
44
96
150
6
Below
average
0
0
1
4
5
Total (%)
10
(3.3%)
38
(12.7%)
74
(24.7%)
178
(59.3%)
300
(100%)
Table 6: Students’ regularity in lectures/classes.
S.no.
IQ category
Regular
students
Irregular
students
Occasionally
attending
Total
1
Extraordinary
Genius
5
0
0
5
2.
Genius
10
0
0
10
3.
Gifted
15
0
0
15
4
Above
average
108
03
4
115
5
Average
135
8
7
150
6
Below
average
3
1
1
5
Total (%)
276
(92%)
12 (4%)
12 (4%)
300
(100%)
DISCUSSION
IQ scores had been used in the past as predictors of
educational achievement or special needs, by social
scientists who study the distribution of IQ scores in
populations and the relationships between IQ score and
other variables, and as predictors of job performance and
income.11-16 similarly in this study the academic
performance, the socioeconomic status and time spent on
studies by medical students was analysed in association
with their IQ.
In the study all the subjects (medical students) had an IQ
/ intelligence interval above 70; none was mentally
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 279
challenged. Majority of the students had an IQ in range of
80 to 130 (average and above average IQ) without
significant gender difference and only 30(10%) had
gifted/genius or extraordinary IQ.
Similarly in study A retrospective review of the
neuropsychological test performance of physicians
referred for medical infractions” by William P.et al, the
IQ of medical professional was found to be average. The
study also mentioned declining in the intellectual calibre
of the entering medical student.17
Other studies have suggested that the mean I.Q. of
individuals with medical degrees is 125 (Matarazzo &
Goldstein, 1972; Wechsler, 1972), in our study most of
the students had IQ in between 85 to 129 i.e. average and
above average IQ.18,19
In the study students with average IQ needed one or more
years for preparation of medical entrance exams, while the
other students with higher IQ needed less time for this.
Also students with average IQ compensated their routine
activities for sake of studies and good results in the
semester exam whereas students with higher IQ spent
lesser hours in their studies and performed well. It was
seen that students with average IQ had almost similar
academic performance as compared to students with higher
IQ , but it was due to long study hours devoted by them
(table 3 and 5). So the academic performance had direct
relation with number of attempts during medical entrance,
number of study hours, and regularity in the classes.
Similar findings were illustrated in the study by Abel
Gedefaw et al where university entrance examination
results, missing lectures and missing seminars/ tutorials
had a statistically significant correlation with academic
performance.20
The medical course comprises of lot of demonstrations,
skills illustrations and practical work, so students
attending all these activities will definitely get benefitted,
and this may be cause for good performance of genius
students (found to be regular) in their academics without
devoting much of time in self studies, students with lower
IQ (above average, average and below average) who use
to bunk from the classes needed extra effort (Table 6).
This has been supported by The American Psychological
Association's report Intelligence: Knowns and Unknowns
(1995).21 wherever it has been studied, children with high
scores on tests of intelligence tend to learn more of what
is taught in school than their lower-scoring peers. 21
The students with higher IQ belong to upper
socioeconomic class and their parents were well
educated. The educational qualification of mothers of
these students was found to be higher than rest of the
students. It signifies that the family environment,
childhood nutrition and illnesses and schooling may have
determinative role in the adult intelligence. The fact is
supported by a 2003 study by Eric Turkheimer et al, who
demonstrated that the proportions of IQ variance
attributable to genes and environment vary with
socioeconomic status. They found that in impoverished
families, 60% of the variance in IQ is accounted for by
the shared environment, and the contribution of genes
was close to zero.22
Most of the medical students had average IQ or above
average IQ. Only very few students had extraordinary
/genius or gifted intelligence. Students with poor
IQ/mentally challenged were not able to clear medical
entrance. Students with higher IQ and above average IQ
needed lesser time for medical entrance and even during
MBBS course for class and routine studies.
Currently the selection of the student into the MBBS
course is through an entrance test, conducted at the all-
India level, state level or at the institution in some of the
notified colleges and private institutions, for those who
fulfil the eligibility criteria based on the marks achieved
in the qualifying examination specified by the MCI.23
Though the medical entrance exam is one of the toughest
exams after IAS-UPSC/IIT-JEE and IIM-CAT, students
with average/above average and even with below average
IQ can get qualified in this through their regular, honest
and consistent effort.
Limitation of number of attempts and age for medical
entrance will be helpful to limit the entrance of below
average / lower IQ students in MBBS course. It will
hasten the duration MBBS completion as well as quality
of healthcare provided by these professionals. A direct IQ
test based admission process will hamper the moral of
hard working average IQ students, so should not to be
implemented. Inclusion of aptitude and reasoning
questions in the entrance examination may be in favour
of intelligent students and hard for bookworm students.
Some medical institutions follow this approach, wherein
the prospective students are provided with an opportunity
to bring out the best potential in interpersonal skills,
commitment, aptitude and personality traits that are
suitable for the profession. This method is highly
effective as narrated in the study (L. S. S. Manickam and
T. S. Sathyanarayana Rao).24
One of the alternatives is to include Situational Judgment
Tests (SJT) that presents the applicants with job-related
situations and possible responses to the situations. These
would help select candidates who are likely to excel in
the profession.25
Limitations: the study subjects were from a single
institute only; students from other medical college were
not included due to lack of resources. The test applied on
students was only an indicator of IQ, examination and
testing by neuropsychiatrist would have yielded more
definitive results. There were chances of recall bias by
subjects regarding past information. Number of study
hours on a daily basis; regularity in the classes were taken
from the students response only, secondary evidences like
classes attendance of individual students was not
Yesikar V et al. Int J Community Med Public Health. 2015 Aug;2(3):275-281
International Journal of Community Medicine and Public Health | July-September 2015 | Vol 2 | Issue 3 Page 280
recorded. Lack of literature and past studies were found
in Indian context so comparison with other references
was a bit difficult and incomplete.
CONCLUSIONS
The study found that students with near average IQ work
hard in their studies and their academic performance was
comparable and even better then higher IQ students. So
IQ can`t be made the basis for medical entrance. This is
also not fare because the students from middle and lower
socioeconomic status generally had lower IQ as found in
this study and other literatures. The government must
give attention and restrict to the mushrooming, high cost
medical coaching institutes who spoon-fed the expected
questions of medical entrance to the rich students ahead
of their intelligence while a genius student from middle
class /poor family may be left out. Greater emphasis
should be given to secondary school education and its
marks may be included in merit formation as it has
been done in all India engineering entrance exams. This
will give an equal opportunity to students from both
poor and rich families. Evaluation of interpersonal skills,
commitment, aptitude and personality traits and inclusion
of Situational Judgment Tests (SJT) are better alternative
for the medical entrance exams. Limitation of attempts
and age will further sort out poor IQ students.
ACKNOWLEDGEMENTS
Author acknowledges students of first and second MBBS
Profs who were keenly interested in our study and
honestly participated in the study as subjects.
Funding: No funding sources
Conflict of interest: None declared
Ethical approval: The study was approved by the
Institutional Ethics Committee
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Cite this article as: Yesikar V, Guleri SK, Dixit S,
Rokade R, Parmar S. Intelligence quotient analysis and
its association with academic performance of medical
students. Int J Community Med Public Health
2015;2:275-81.
... Academic success has a fundamental consign in education and in the learning process, as well as the type of school, students socio-economic status, parents education, intelligence and personality, all of which influence student performance and academic achievement. Environmental and biological variables influence intellectual development (Yesikar, Guleri, Dixit, Rokade, & Parmar, 2015). ...
... A structured questionnaire to measure IQ available from the IQ test.com and an online link of IQ test was given to the participants (Yesikar et al., 2015). The scoring of IQ level is given in IQ scale chart that gives a clear overview of the IQ score ranges as derived from (Resing and Blok ,2002). ...
... Majority of the students were in the normal range and only one student was in the genius category. Yesikar V et al, (Yesikar et al., 2015) in a study reported that majority of them had an average and above average IQ. Dickens T et al (Dickens & Flynn, 2002) in a study reported average level of IQ. ...
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Introduction: Several researchers academics have revealed in recent years that cognitive ability alone is insufficient to predict success, and that morals, talent, attitude, and behaviour all play a role. Salovey and Mayer investigated the reasons why many clever people failed in life more than a decade ago. Their research led to the identification of an intelligence subset known as emotional intelligence (EI). EI, as a sort of social intelligence, is more important than cognitive intelligence in terms of success. Objective: The aim of the present study was to determine the correlation of EQ and IQ with Academic performances. Methods: The present cross-sectional study was conducted in Baqai Dental College from July 2021-September 2021 after getting ethical approval from Ethical review board, Baqai Dental College. Dental students from 2nd year, 3rd year and Final year were invited to participate through census sampling technique. The study included all students from each class who were present on the day of data collection whereas those absent from each class were excluded from the study. Results: A total of 165 dental students participated in the study. Majority of the dental students fall in the domain of emotional awareness and management within 25-34 range of effective functioning. Frequency and percentages were also calculated for level of intelligence and 72 (43.6%) of the dental students scored 90-109 which is considered as Normal. Association of students marks from the last examination with IQ score was calculated and 48(39.7%) students with <60% in the last examination fall in the Normal range of IQ. Correlation between EQ, IQ and academic performance was calculated and showed that a negative correlation was found between Academic performance and IQ. Conclusion: The present study concluded that emotional intelligence is positively correlated with academic performance and
... Psychosocial stability is one of the factors that determine the level of preparedness for examinations and scoring satisfactory grade (33). The 19.0% prevalence of LSE is considerably high, as medical students are generally considered high achievers with at least average or high intellectual capacity (34). LSE is strongly associated with mental distress. ...
... The prevalence of mental distress in our study is similar to the prevalence of mental disorder estimated in general population among young adults in their twenties (19% to 32%) (30,34,35). A study conducted in Jimma University in 2015 by Kerebih et al. (24), had also revealed 35.2% prevalence of common mental disorders among medical students (2 (18); this could be due to the different tools used to diagnose mental distress or related to the diverse teaching culture of medical schools. ...
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Background: Medical students often experience chronic stress. Self-esteem is one of the most important factors in the process of psychosocial growth and has remarkable effect on thoughts, feelings, values, and goals. The aim of this study was to assess the prevalence and associated factors of low self-esteem (LSE) and mental distress among Medical Students of Jimma University. Method: This cross-sectional study was conducted in Jimma University from June to July, 2018. Self-esteem was measured with Rosenberg self-esteem scale. Self-administered Short form with General Health Questionnaire was used to assess presence of mental distress. Result: Out of 422 students enrolled to the study, 279 (66.1%) were male, and 413 (97.9 %) were 18 to 25 years of age. The prevalence of LSE and mental distress were 19.0%, and 19.7 %, respectively. Students who had LSE had 5 times higher risk of having mental distress, AOR= 5.1 (95% CI, 2.9-8.9). Moreover, female students had higher risk of developing mental distress (AOR=1.9, 95% CI, 1.1-3.3). Students who had poor social support were 4.3 times at higher risk of developing LSE, AOR=4.3 (95% CI, 1.9-9.8). Those who reported to have poor academic performance were also more likely to have LSE AOR= 3.7 (95% CI, 1.3-10.0). Conclusion: One in five medical students had LSE and it is strongly associated with metal distress. Female students were at higher risk of mental distress. Preventive, curative and rehabilitative mental health services should be available for medical students with particular attention to those with poor social support.
... The patient was born to a mother from non-consanguineous marriage by full-term normal delivery, he was normally built with an intelligence quotient ranging between 80 and 89 in the lower normal range. [6] Extraorally the patient showed a diffuse soft and extended swelling, extending up to the lower border of the mandible on the right side with a significant development of the symphysis region [ Figure 1]. Patient was in the mixed dentition phase with angles class III molar relation on right side , angles class I molar relation on left side ,class I canine relation on the right side, and unerupted upper lower canines on left side, anterior incisor cross bite and pulpally involved 46 [ Figure 2]. ...
... [7] Increase in the length and height of the body of the mandible was seen on the right side of the face. Upper facial ratio was decreased (cg-ANS/cg-me = 43%), lower facial height was increased (ANS-Me/cg-me = 60%), overall maxillary ratio was slightly increased (ANS-A1/ANS-me = 57%), and overall mandibular ratio showed a remarkable increase (me-B1/ANS-me = 80%) [6] [cg-crista galli, me-menton, ANS-anterior nasal spine, A1-upper central incisor edge, B1-lower central incisor edge] [ Figure 3A and 3B]. ...
... 17 Generally, there are other factors influencing the results of multiplechoice question exams for students, including health factors, psychological aspects, learning motivation, learning styles, and the role of instructors in delivering instructional material. 18,19,20,21 Thus, these factors also contribute to potential biases in this research outcome. ...
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The COVID-19 pandemic has made major changes, one of which is the policy of implementing online lectures from home. This change in method can affect student learning outcomes that can be observed through the results of the MCQ exam at the end of the block. This study was conducted to determine the influence of online lectures during the COVID-19 pandemic on the results of the final MCQ test of student blocks. The retrospective cohort research design was carried out by collecting the MCQ scores at the end of the block at the time before the pandemic, the beginning of the pandemic and the sixth month of the pandemic from students of the 2017, 2018, and 2019 batches and data analysis was carried out by means of the Friedman Test, the Repeated Anova test, the Kruskal-Wallis test and the One-Way Anova. In the class of 2017, the average MCQ test results of the final block before, at the beginning, and in the sixth month of the pandemic were 50.72+8.02 consecutively; 51,39+6,8; 50.31+8.41, and there was no significant difference between them (p>0.001). Meanwhile, in other batches, a significant difference (p<0.001) was found with the results of the final MCQ exam in the 2018 batch of 45.29 + 7.87; 42.77 + 10.4 and 50.68 + 10.63 and for the class of 2019 it is 62.00 + 6.83; 46.8+10.92 and 52.32+10.02. At the beginning of the implementation of online lectures, the final MCQ score of the junior student block was most affected (p<0.001). The online lecture method affects the learning outcomes of first- and second-year students but not for third-year students.
... 30 Following the ATTA manual, we calculated a total ATTA score-the sum of each scaled subscore-for each participant, normalised to the average adult. 29 The average adult's normative total ATTA score is 60 (SD 7.87); each subscore has a normative subscore of 15 (range [11][12][13][14][15][16][17][18][19]. 29 The ATTA has high interrater reliability and a Kuder-Richardson 21 (KR21) reliability coefficient of 0.90, 29 indicating high test reliability. ...
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Objective To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect of surgical training on creative potential, and explore the value of creativity in surgery. Design We used a mixed-methods design, conducting a survey of divergent thinking ability using a validated questionnaire followed by two semi-structured interviews with top-scoring participants. Participants & setting Surgeons and surgeon trainees in the Department of Surgery at McMaster University. Outcomes The primary outcome was divergent thinking, assessed with the Abbreviated Torrance Test for Adults. Participants also self-assessed their confidence in creative problem-solving and the effect of surgical training on their creative potential. We performed descriptive analyses and multivariable linear regression to identify factors associated with divergent thinking. We conducted a thematic analysis of the interview responses. Results 82 surgeons and surgeon trainees were surveyed; 43 were junior trainees and 28 were senior trainees. General surgery, orthopaedic surgery and plastic surgery represented 71.9% of the participants. The median participant age was 28 years (range 24–73), 51.2% of whom were female. Participants demonstrated levels of divergent thinking that were higher but not meaningfully different from the adult norm (62.39 (95% CI 61.25, 63.53), p<0.001). While participants scored significantly higher than the average adult on fluency (the ability to produce quantities of ideas) and flexibility (the ability to process information in different ways) (p<0.001 for both), they scored below average on originality (the ability to produce uncommon, new or unique ideas) (p<0.001). Regression analysis identified higher divergent thinking scores among females (estimated β=−3.58 (95% CI −6.25 to –0.90), p=0.010). Conclusions The divergent thinking ability among surgeons and surgeon trainees was not meaningfully different from the adult normative score; however, their ability to generate original ideas was below average.
... found that most of the medical students had near-average intelligence (88.3%) and students with near-average IQ worked hard and their academic performance was similar to students with higher IQ. [13] Given the inconsistent findings and the potential importance of clarifying the role of breakfast and breakfast composition on post-mealbehaviours (i.e., appetite and cognitive performance), future work controlling for these methodological shortcomings is warranted. [14]Breastfeeding is related to improved performance in intelligence tests. ...
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Purpose:The purpose of the studies, is to find out the effects of Jyoti meditation on intelligence of school students. Materials and Methods: In this study total of Forty (40) subjects (agesranging from 12 to 14 years) were selected by random sampling technique. after the pre-test, all the subjects were scattered into two equal groups i.e., the Experimental Group (n=20) and Control Group (n=20). The Control Group received no training at all whereas the Experimental Group participated in a Six (6) week Jyoti meditation training programme. Pre-test and post-test were applied to get the data from both groups. Statistical technique: For the analysis of data statistical Mean, Standard Deviation and T-test were used. The level of significance was set at 0.05. Results: The test findings showed the significant ratio value for selected variables in the Experimental Group. The findings of the study revealed that the Six (6) weeks of Jyoti meditation training is very beneficial to increase the intelligence of the school students. Conclusion: Lastly, I concluded that the Jyoti meditation training programme significant effect on the intelligence of school students (Boy & Girl).
... Controlling for other socioeconomic and regional factors, their findings revealed that the distance to the nearest university at the time of high school graduation significantly impacts the decision to enroll in college. Studies show that intelligence development, a factor of student academic success, is contingent on ecological such as the learning process [32], resource distribution [13], the school type, socioeconomic status (SES) of students, parental education, and personality, and biological variables [33][34][35], in the Malawian context. It is worth looking at the historical background of education in Malawi to appreciate the bone of contention in this study. ...
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Situated against the backdrop of a politically fueled ethnic hate between the Northern Region and the rest, this study exposes the relationship between the students' regions of origin and their academic performance in Malawian higher education to contribute to appropriate student support and healthy study habits. Spearman's rHO indicated weak but statistically significant correlations between one's home region and academic performance. Kruskal Wallis Test (N = 20,263) revealed that no single region outperforms others. Thematic analysis of interview data (N = 15) through NVivo revealed that students believe effort matters more in academic performance irrespective of one's region of origin. Implications for education policy that harness healthy study habits to enhance student achievement, retention, and self-efficacy about success are discussed.
... In our study, medical students who reported ADHD problems were similar in executive functioning to those who did not report ADHD. Considering that medical students' intelligence quotient (IQ) levels are higher than the average, the above-average IQ could have affected our results (55,56). In a recent study, adults with ADHD and high IQ show less evidence of executive functioning deficits than those with ADHD and standard IQ (57). ...
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This study aimed to evaluate the subjective Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms with self-reported ratings and objective neurocognitive tests among medical students. Also, we examined to identify the psychological factors that predict ADHD reporting among medical students. Medical students (N=57) completed self-report questionnaires, and neurocognitive tests were conducted for attention measures. Participants had a mean age of 20.3 years, and 69.0% were female. High levels of perceived stress, state-trait anxiety, and current and childhood ADHD symptoms were possible risk factors; however, only higher perceived stress was a risk factor for the possibility of reporting themselves as ADHD in medical school students [odds ratio [OR] =1.184, 95% confidence interval [CI] = [1.015; 1.381]]. Higher perceived stress levels, the more reported ADHD subjectively in medical students. Objective attention measures had no impact on reporting ADHD subjectively. Screening for perceived stress is necessary for medical students, especially those with subjective ADHD symptoms.
... Intellectual growth depends on ecological & biological factors. 5,6 Although intelligence and achievement are two different things, but they are strongly related to each other. 7 Intellectual power such as long-term memory, ability to think theoretically whereas https://doi.org/10.29309/TPMJ/2021.28.02.4348 nonintellectual power such as inspiration, selfcontrol both have impact on student's academic performance. ...
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Objective: The objectives of this study were to find the correlation among the intelligence and academic achievement of MBBS students and to see if the correlation differs between boys and girls. Study Design: Cross Sectional Study. Setting: Ameer Ud Din Medical College / PGMI Lahore. Period: 1st January 2019 to 31st January 2019 Material & Methods: A total of 100 second year MBBS students volunteered to participate (46 males and 54 females). Modified Wechsler Adult Intelligence Scale (WAIS) was used to access the IQ of students. Previous academic records of the students before their admission in medical college and written and oral test marks of second year MBBS students during the year were used for measuring academic achievements of students. The results were analyzed by spearmans correlation, Independent t test and Mann Whitney U test. Results: A statistically significant difference (p = 0.04) between IQ of boys and girls was found with males having mean IQ of 97.4±22.7 as compared to females 89.3±15.5. No significant difference was observed in academic achievements of male and female students. Correlation of IQ with academic achievements was also non-significant. Conclusion: Although males have higher IQ but it has no relationship with academic achievement of medical students. Hard work of the students with average or low IQ could be the reason that there was no difference in the academic achievement when they were compared with the students having higher IQ.
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Motivasi belajar adalah daya pendorong atau penggerak yang ada dalam diri seseorang untuk melakukan aktivitas belajar guna mencapai tujuan pembelajaran. Bagi seorang mahasiswa motivasi belajar memiliki peran yang penting dalam meningkatkan prestasi akademik. Salah satu faktor psikologi yang memengaruhi motivasi belajar adalah intelegensi. Intelegensi seseorang bisa dinilai dengan melakukan tes intelegensi dan hasil dari tes tersebut disebut dengan Intelligence Quotient (IQ). Penelitian ini bertujuan untuk mengetahui adanya hubungan antara IQ dengan motivasi belajar pada mahasiswa Fakultas Kedokteran Universitas Pattimura Tahun Ajaran 2021/2022. Metode penelitian yang digunakan adalah analitik kuantitatif dengan desain penelitian cross sectional. Sampel yang terkumpul berjumlah 205 responden berdasarkan total sampling. Pengambilan data dilakukan menggunakan kuesioner motivasi belajar dari penelitian sebelumnya dan data IQ yang diambil dari data Medical Education Unit(MEU) Fakultas Kedokteran Universitas Pattimura. Penelitian ini dilakukan pada Mei 2022. Hasil penelitian menunjukkan bahwa 63,9% mahasiswa memiliki IQ di kategori rata-rata dan 77,6% mahasiswa memiliki motivasi belajar yang tinggi. Hasil analisis bivariat antara IQ dengan motivasi belajar dengan uji Somers’d didapatkan nilai p=0,589. Hal tersebut menunjukkan bahwa tidak terdapat hubungan yang signifikan antara IQ dengan motivasi belajar. Dari hasil penelitian diharapkan adanya program bimbingan dan konseling bagi mahasiswa yang memiliki motivasi belajar dan IQ yang rendah sehingga bisa meningkatkan kinerja akademik mahasiswa.
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Background This study was conducted to identify predictors of self-reported academic performance in undergraduate medical students at Hawassa University. Methods An analytical cross-sectional study involving 592 undergraduate medical students was conducted in November 2012. The academic performance of the study subjects was measured by self-reported cumulative grade point average (GPA) using a self-administered questionnaire. Data were entered and analyzed using Statistical Package for the Social Sciences version 16 software. Pearson’s bivariate correlations, multiple linear regression, and multiple logistic regression were used to identify predictors of academic performance. Results The self-reported academic performance of students had been decreasing as the academic years progressed, with the highest and lowest performance being in the premedicine (mean GPA 3.47) and clinical I (mean GPA 2.71) years, respectively. One hundred and fifty-eight (26.7%) of the participants had ever been delayed, 37 (6.2%) had ever re-sat for examination, and two (0.3%) had ever been warned due to academic failure. The overall variation in self-reported academic performance of the students was 32.8%. Participant age alone explained 21.9% of the variation. On the other hand, university entrance examination results, substance use at university, and medicine as first choice by students were identified as predictors of variation in self-reported academic performance, accounting for 6.9%, 2.7%, and <1% of the variation, respectively. Students who had never used tobacco, alcohol, or khat after starting university were twice as likely to score a self-reported cumulative GPA above 3.0 (adjusted odds ratio 1.95, 95% confidence interval 1.25–3.02) and less likely to be delayed, have to re-sit an examination, or be warned (adjusted odds ratio 0.47, 95% confidence interval 0.29–0.77). Conclusion Only 32.8% of the variation in self-reported academic performance was explained by the studied variables. Hence, efficacious mechanisms should be designed to combat the intervenable determinants of self-reported academic performance, like substance use and a low medical school entrance examination result. Further studies should also be undertaken to gain a better understanding of other unstudied determinants, like personality, learning style, cognitive ability, and the system used for academic evaluation.
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The Reynolds Intellectual Assessment Scales (RIAS) (Reynolds & Kamphaus, 2003) is a psychometrically sound, individually administered test of intelligence developed and standardized for ages 3 through 94 years. This article describes the goals for development of the RIAS and its underlying theory, emphasizing its applicability to the identification of intellectually gifted individuals. In addition, an overview of the test's administration and psychometric properties is provided.
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In a double-blind study, 60 General Psychology students, selected in low, average, and high ACT ranges, were administered the Reynolds Intellectual Assessment Scales (RIAS). On a separate occasion, the students also completed web-based internet IQ tests from tickle.com, queendom.com, and iqtest.com. MANOVA results showed that ACT level had a significant effect on all four IQ scores combined (Wilk's Lambda = .451, p
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This study investigates the convergent relations of the Reynolds Intellectual Assessment Scales (RIAS) and the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV). Data from counterbalanced administrations of each instrument to 48 elementary school students referred for psychoeducational testing were examined. Analysis of the 96 protocols reveals significant positive correlations between conceptually similar BIAS and WISC-IV sub-tests. However, overall mean scores were significantly higher for the RIAS.
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This study examined whether patients with major depressive disorder manifest deficits in intelligence during affective episodes and following clinical improvement. WAIS-R scores were contrasted in 100 patients in an episode of major depression with 50 normal controls, matched to the patient sample in terms of demographic variables and estimates of premorbid IQ. The groups were equivalent in verbal IQ, but, in line with previous studies, the depressed patients had a pronounced deficit in performance IQ. A patient subsample was administered the WAIS-R under unlimited time conditions to determine whether the time constraints of performance IQ subtests contributed to the magnitude of the verbal-performance IQ discrepancy. This discrepancy was only slightly reduced with untimed scoring. Subgroups of depressed patients were retested with the WAIS-R within one week (n = 26) or two months (n = 33) following treatment with electroconvulsive therapy. In both subsamples, IQ scores were improved at posttreatment testing relative to pretreatment, but with little change in the verbal-performance IQ discrepancy. These and related findings suggested that a performance IQ deficit is characteristic of depressed patients regardless of affective state.