Research Article (Open access) |
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Int. J. Life. Sci. Scienti.
Res., 3(3): 1094-1099, May
2017
Prevalence of Insulin Resistance and its Association with Obesity and
Alcoholism in Male Medical Students of Bhopal
Chetna Charpe1,
Shubho S Biswas2*, Vaishali
Jain3
1MBBS 2nd Professional student, LN Medical
College, Bhopal, MP, India
2Professor, Biochemistry, LN Medical College, Bhopal,
MP, India,
3Professor,
Biochemistry, LN Medical College, Bhopal, MP, India
*Address
for Correspondence: Dr. Shubho S Biswas,
Professor, Department of Biochemistry, LN Medical College, Bhopal, MP, India
ABSTRACT- Background: Obesity is rising in medical
students due to their stressful academic calendar and sparse time for sports. Obesity
is aggravated by the regular drinking of alcohol, a recreational and
stress-busting activity, particularly for the male students. Obesity leads to
insulin resistance. Homeostasis model assessment-estimated insulin
resistance (HOMA-IR) >2 has also been reported to independently predict
cardiovascular risk. Although many studies are there on obesity of medical
students, few studies exist in Central India on the prevalence of insulin
resistance in medical students. Therefore, prevalence of insulin resistance and
its association with obesity and alcoholism was investigated in the first year
male medical students of LN Medical College, Bhopal, India.
Methods: 50 male medical students of first year were
investigated and considered overweight/obese if BMI>=23 or centrally obese
if waist circumference (WC)>=90cm. Alcohol intake of more than 20gm per day
was considered as high alcohol intake. HOMA-IR
was calculated from fasting glucose and fasting insulin and HOMA-IR>=2 was regarded as
high.
Results: Insulin resistance measured by HOMA-IR>=2 was
found in 40%, central obesity as per waist circumference in 20%, overall
obesity/overweight as per BMI in 60% and alcoholism in 42%. Significant
association was found between insulin resistance and central obesity measured
by waist circumference (p value 0.001), but not with BMI and alcoholism. Conclusion:
Prevalence of insulin resistance in first year male medical students was high
and insulin resistance was significantly associated with central obesity.
Keywords- BMI,
waist circumference, HOMA-IR, insulin resistance, alcoholism
INTRODUCTION- Medical
students have a rigorous academic calendar, which leaves less time for sports
and exercise. Prevalence of overweight and obesity is rising in medical
students worldwide.[1] Studies
from various parts of India have agreed on this rising trend to varying degree.
[2-3]
It is compulsory for first year
medical students of our institution to reside in the college hostel. Regular drinking of alcohol is a recreational
and stress-busting activity for the male students. They are at risk of being
overweight as alcohol prevents oxidation of fatty acids by contributing 7kcal/gm
of energy.[4] Increased
central obesity is reported to lower physical fitness index and cardiovascular
efficiency, especially during exercise, due to lower utilization of oxygen per
unit of body mass. [5]
Obesity in general is associated with increased risk of metabolic syndrome and
cardiovascular disease.[6]
Many
endocrine, inflammatory, neural, and cell-intrinsic pathways get dysregulated in obesity, which independently and in
interdependent ways leads to insulin resistance.[7] Homeostasis
model assessment-estimated insulin resistance (HOMA-IR)>2 has been reported
to independently predict future risk of developing cardiovascular disease
(CVD).[8] HOMA-IR > 2.5 has been reported to identify a large
number of adolescents as having metabolic syndrome in different categories of
Body Mass Index (BMI).[9]
High prevalence of insulin
resistance in the general school and college population has been reported.[10] However, studies on medical
students is mostly restricted to obesity. There have been few studies in
medical students, particularly in Central India, on the prevalence of insulin
resistance. This study was there therefore carried out in the first year male
medical students of our institute in Bhopal to estimate the prevalence of
insulin resistance and determine whether insulin resistance is significantly
associated with obesity and alcoholism.
MATERIALS AND METHODS- This study was carried out as an Indian Council of
Medical Research-Short Term Studentship (ICMR-STS) project on 50 first years
male medical students, studying at LN Medical
College, Bhopal, India. Out of the total 150 students admitted every year,
about half are male. The students included in the study were 18 to 25 years of
age of 2015-16 batches. Those unwilling to give consent were excluded from the
study. Four students declined to give
their alcoholic and smoking status, even though they filled all other informations. The sample size was adequate to fulfil the
primary objectives at 5% level of significance. Permission of Institutional
Ethical Committee was taken prior to commencing the study.
A questionnaire was given to the students for information
regarding their name, age, and address, history of high alcohol intake, high
calorie intake, level of physical exercise, socio-economic status, personal history of smoking, diabetes or hypertension.
Alcohol intake of more than 20gm per day was considered as high alcohol intake.[11] Smoking more than five sticks
per day was considered frequent. Heavy physical exercise (gymming,
running or playing games like football for 30 minutes or more per day) was
considered physically active. Calorie consumption of more than 3000 per day was
considered high. Information was also collected about their parents being
affluent (>=12 lakhs per annum) or having moderate
income.
Obesity in general was measured by BMI and central
obesity was measured by waist circumference. The weight in kg and height in
metres of the students was noted by wall mounted stadiometer
to calculate BMI. The waist circumference of the students was measured keeping
the tape horizontally at just above the hip bone. Students were categorised on the basis of
central obesity and BMI as per Asian criteria.
Student was normal, if BMI 18.5-22.9,
overweight if BMI 23-24.9 and obese if BMI>=25. These were dichotomised into
two categories-normal and overweight/obese. Based on central obesity, student
was obese, if waist circumference (WC) was >=90cm, else normal. Systolic and
diastolic blood pressures of the students were recorded. Systolic and/or
diastolic equal to or more than 130 and 85 respectively was considered high,
following the criteria set for detecting
metabolic syndrome.[12]
Overnight fasting samples were collected for estimating
plasma glucose and insulin. Samples for
glucose were collected in fluoride oxalate while samples for insulin estimation
were collected in EDTA tubes and freezed at -20
degrees, when processing got delayed by more than 24 hours. Plasma glucose was
estimated by GOD-POD method on automated clinical chemistry analyser. Plasma
insulin was estimated by ELISA.
Homeostasis
model assessment-estimated insulin resistance (HOMA-IR) was calculated from
fasting glucose and fasting insulin as follows: [13]
HOMA-IR
= Glucose (mg/dl) X Insulin (mU/L)
405
HOMA-IR>2 was regarded as high. [8]
Statistical Analysis was carried out using IBM SPSS version 16. Students with
high insulin resistance were counselled on improving their dietary pattern,
substance abuse and life style to prevent future risk of CVD.
RESULTS- The characteristics of the students were as follows:- their mean age was
21.16 years (range 18-25 years), mean BMI was 23.36 Kg/m2 (range
17-32 Kg/m2), mean WC was 83.12 cm (range 75-100 cm), systolic blood
pressure was 120.80 mm (range110-140 mm), diastolic blood pressure was 80.72 mm
(range 70-90), fasting plasma glucose was 80.78 mg/dl (range
65-110 mg/dl) and fasting plasma insulin was 11.35 mU/L
(range 2.76 40.17 mU/L).
The
distributions of student characteristics are
shown in Table 1. As per BMI, two third students were either overweight or
obese, while as per their waist circumference, one fifth was obese. One fifth
of the students had blood pressure equal to or more than either systolic 130 or
diastolic 85 mm. The fasting plasma
glucose was less than 100 mg/dl in all but two students, while plasma insulin
was equal to or higher than 20mU/L in seven students. Insulin resistance measured by HOMA-IR>2
was found in 20 students (40%). Twenty one students were alcoholic (42%) and
twenty four students were frequent smoker (48%). Inadequate physical activity
and high calorie intake was present in about two third. Twenty percent of the
students had parental income higher than twelve lakhs
per annum.
Table 1: Distribution of Student Characteristics
Characteristic |
Total No. (%) |
Characteristic |
Total No. (%) |
BMI > 23(overweight/obese) |
30 (60%) |
Alcohol > 20gm/day |
21 (42%) |
< 23 |
20 (40%) |
< 20gm/day or nil |
25 (50%) |
Waist > 90 cm |
10 (20%) |
Not willing to inform |
04 (08%) |
< 90cm |
40 (80%) |
Smoking > 5 sticks/day |
24 (48%) |
BP
> 130/85 |
10 (20%) |
< sticks/ day |
22 (44%) |
<
130/85 |
40 (80%) |
Not willing to inform |
04 (08%) |
Pl. Glucose(F) > 100 mg/dl |
02 (04%) |
Calorie intake > 3000/ day |
30 (60%) |
< 100 mg/dl |
48 (96%) |
< 3000/ day |
20 (40%) |
Pl. Insulin > 20mU/L |
07(14%) |
Physical activity > 30 mins |
16 (32%) |
< 20mU/L |
43(86%) |
< 30 mins
or Nil |
34 (68%) |
HOMA-IR > 2 |
20 (40%) |
Income > 12 lakhs per annum |
10 (20%) |
< 2 |
30 (60%) |
< 12 lakhs
per annum |
40 (80%) |
The
association of HOMA-IR with BMI was not statistically significant (Table 2).
The percentage of overweight or obese students with HOMA-IR> 2 was 43.3%,
while the percentage of students with normal BMI and HOMA-IR> 2 was
slightly lower at 35% (p value 0.556).
The crude odds ratio of having HOMA-IR> 2 in students with BMI>23
as compared to those with BMI<23 was 1.41.
Table 2: Association of HOMA-IR with BMI
BMI Category |
HOMA-IR Category |
Total |
p-value |
|
HOMA-IR < 2 |
HOMA-IR > 2 |
|||
BMI < 23 |
13 (65%) |
07(35%) |
20 (100%) |
0.556 (NS) |
BMI >23 (overweight / obese) |
17 (56.7%) |
13 (43.3%) |
30 (100%) |
|
Total |
30 (60%) |
20 (40%) |
50 (100%) |
NS: Not significant
A significant
association was found between HOMA-IR and waist circumference (Table 3). The
percentage of obese students with HOMA-IR> 2 was 90%, while the percentage
of students with normal WC and HOMA-IR> 2 was significantly lower at
27.5% (p value 0.001). The crude odds ratio of having HOMA-IR> 2 in
students with WC>=90cm as compared to those with WC<90cm was 23.7.
Table 3: Association of HOMA-IR with Waist Circumference
WC Category |
HOMA-IR Category |
Total |
p-value |
|
HOMA-IR < 2 |
HOMA-IR > 2 |
|||
WC < 90 |
29(72.5%) |
11(27.5%) |
40 (100%) |
0.001 (S) |
WC >90 (obese) |
01 (10%) |
09 (90%) |
10 (100%) |
|
Total |
30 (60%) |
20 (40%) |
50 (100%) |
S: significant
The
association of HOMA-IR with alcoholism was not statistically significant (Table
4). The percentage of alcoholic students with HOMA-IR> 2 was 52.4%, while
the percentage of non-alcoholic students with HOMA-IR> 2 was lower at
32%, but the difference was statistically insignificant (p value 0.162). The
crude odds ratio of having HOMA-IR> 2 in alcoholic students as
compared to non-alcoholic students was 2.3.
Table 4: Association of HOMA-IR with Alcoholism
Alcohol Intake |
HOMA-IR
Category |
Total |
p-value |
|
HOMA-IR < 2 |
HOMA-IR > 2 |
|||
Alcohol >20gm/day |
10(47.6%) |
11(52.4%) |
21 (100%) |
0.162 (NS) |
Alcohol< 20 gm/day or Nil |
17 (68%) |
08 (32%) |
25 (100%) |
|
Total |
27(58.7%) |
19 (41.3%) |
46* (100%) |
NS: Not significant, *four students did not reveal whether they were
alcoholic
DISCUSSION- The findings of this study highlight the problems of obesity, alcoholism and
insulin resistance in male medical students. In our study, 60% of the male
students were either overweight or obese, more than half of which (34%) were
obese. Central obesity (WC>=90cm) was 20%, 68% had poor physical activity,
60% had high calorie intake, 42% were alcoholic, 48% were smokers and 20% came
from very affluent background.
Khan et al.[14]
also reported high rate of obesity in males from a medical college of Lahore.
They reported 30.5% of males had BMI>=25, 46% of males had central obesity based
on waist to hip ratio and overall, 80.7% played no sport. In India too, Gupta
et al.[15] reported from a government medical college
that 21.4% male students were either overweight or obese, but figures were
similar for females as well. Our results values of overweight/obesity
prevalence are higher but that may be due to better socio-economic class of the
students of our private college. Mean WC found in our study (83.12cm) is
similar to that reported from a private college in Ujjain (79.2cm), although
their higher prevalence (80%) of central obesity is due to a lower cut-off
(WC>=78cm).[16] Obesity in medical
students is increased by alcoholism, but many other contributing factors exist
like genetic predisposition, higher stress of medical education, lack of
exercise, irregular sleep pattern, irregular dietary habits, snacking, taking
high calorie food and positive family history.[17]
Medical students are often initiated to drinking
following their admission. Despite
knowing its ill effects, students take up alcoholism and other substance abuse
for reasons like relief from psychological stress, celebration, to reduce
tiredness, peer pressure, experimental use and easy availability.[18]
Garg
et al. [19] reported 71.9% students started alcohol
consumption after admission to a medical college, a third of which developed
regular frequency. Goel et al. [20] reported
16.7% alcoholism in medical students with higher prevalence in males. Prevalence of alcoholism found in our study
is higher and could be a reflection of the higher socio-economic status of the
students.
Ethanol consumption
leads to mechanisms like inhibition of AMP-Protein Kinases
that not only block fatty acid oxidation but also promote fatty acid synthesis,
leading to obesity. [21] Insulin resistance in obesity results from many mechanisms.
Elevated fatty acids impair protein kinases,
resulting in induction of insulin resistance. Brain integrates the signals from
fatty acids with adiposity signals from leptin and
insulin. Various biomarkers of inflammation such as Tumor Necrosis Factor
alpha, Interleukin-6 and C-Reactive Protein also have
been found to be elevated in the insulin resistant obese individual. Complex
interplay between endocrine, inflammatory, neural, and cell-intrinsic pathways
that get dysregulated leads to insulin resistance in
obesity.[7]
Different authors have used different methods to measure insulin resistance. Although the euglycemic clamp or the oral glucose tolerance test are the most desirable methods of determining insulin resistance, but they are difficult to carry out. Hence, methods like HOMA-IR, fasting glucose/insulin ratio (FGIR) and quantitative insulin-sensitivity check index (QUICKI) are more frequently used. HOMA-IR is more reliable than FGIR and QUICKI.[22] and has good correlation with euglycaemic clamp, even though its relatively low precision puts limits on its use.[23]
In our study, although most
students had apparently normal plasma glucose and plasma insulin, prevalence of
insulin resistance by HOMA-IR cutoff >=2 was high at 40%. Out study chose a
lower cut-off of HOMA-IR based on report by Ray et al that it predicts future
risk of cardiovascular disease.[8]
There is, however, no consensus on the cut-off for HOMA-IR. Singh et al have
preferred a HOMA-IR cut-off of 2.5 in adults as it predicts risk of metabolic
syndrome. Their study on adolescents found 34.5% insulin resistance with mean
HOMA-IR increasing with sexual maturity and obesity.[9] John et al
reported 14.4% insulin resistance in their study on students of a medical
college in South India,[12] but they
chose to measure insulin resistance by triglycerides to HDL-cholesterol ratio
instead of by HOMA-IR.
In our study, HOMA-IR showed
statistically significant association with central obesity measured by waist
circumference, but not with overweight/obesity measured by BMI. There
has been a shift in focus to central obesity rather than overall obesity in
relation to prediction of future mortality. Waist circumference is therefore
now considered better than Body Mass Index as an index of obesity.[24]
Henderson et al even
reported that waist circumference was the best predictor of insulin resistance.[25]
But even in terms of BMI, there were 7.3% more students having HOMA-IR>=2 in
the overweight/obese category as compared to students in the normal category.
Likewise, Lim et al reported positive association of HOMA-IR with both the
obesity indices-BMI and WC.[26]
In our study, there was no
statistically significant association of alcoholism with HOMA-IR. Since our study was on first year students,
the duration of alcoholism was short and may not have had a significant effect.
A multi-centric study across eight medical colleges of India showed the
prevalence of alcohol consumption increased from 16.7% in undergraduate medical
students to 31.5% in postgraduates, rate being higher in males.[20] However, even in our study, the alcoholic category had 20.4%
more students with HOMA-IR>=2 as compared to non-alcoholic or abstaining
students.
The study was limited by its
sample size, which prevented a more detailed stratified or re-gressional analysis of the confounders. The association
between alcohol and insulin resistance can be influenced by smoking. Physical
activity and calorie intake can influence the association of waist
circumference and insulin resistance. While distributions of these third factors were
obtained, sample size was calculated for the crude association and not for
detailed analysis keeping in mind that this was a summer project for
undergraduate student.
The
counselling given to obese students with high HOMA-IR might motivate them to
improve their dietary pattern, lifestyle and habits. There are different therapies which are being used in
India and across the world for the treatment and prevention of obesity[27], which can also be practised to
prevent future complications. Students should be screened for their WC and all
students, in particular those with high WC, should be encouraged by the
institute to make sports and exercise a part of their life. Follow-up studies
can be done in a larger sample of these medical students, performing oral
glucose tolerance tests and lipid profile for a comprehensive assessment of
insulin resistance, metabolic syndrome and risk of CVD.
CONCLUSIONS-
The male medical
students of first year showed lack of balance in their life style, reflected by
their lower physical activity, higher calorie intake, higher prevalence of
obesity/ overweight and alcoholism. The prevalence of insulin resistance in
these students was high (40%), which makes them prone to future development of
metabolic syndrome and cardiovascular complications. Central obesity measured
by WC>=90cm was significantly associated with insulin resistance measured by
HOMA-IR cut-off>= 2, but not with BMI or alcoholism. WC>=90cm is
therefore a strong indication for screening students for insulin resistance to
prevent future complications. Besides, medical colleges need to make sports
activities a regular feature of campus life right from the first year,
particularly for students with higher WC.
ACKNOWLEDGEMENTS- Studentship of rupees ten thousand received from Indian
Council of Medical Research.
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