STATUS INDEKS MASSA TUBUH DI ANTARA SAMPEL DIABETES DAN NON DIABETES PADA HARI DIABETES SEDUNIA TAHUN 2013 DI DESA KERTALANGU.
BODY MASS INDEX STATUS
AMONG DIABETIC AND NON DIABETIC SAMPLES
WHO ATTENDED WORLD DIABETIC DAY EVENT 2013
IN KERTALANGU VILLAGE
I Gusti Agung Ayu Indrayuni1 and Wira Gotera2
1
Faculty of Medicine, Udayana University
2
Internal Medicine, Sanglah Hospital Denpasar
ABSTRACT
The uncontrolled lifestyle is followed by the increasing risk of disease, especially the
degenerative one. Diabetes mellitus is a metabolic disease that can cause mortality by its
complication. Risk factors that contribute to the disease are lack of physical activity, family
history, age, overweight and also obesity. The aim of this research is to find out the
prevalence of body mass index status in diabetic and non diabetic samples. The research is
held in Kertalangu Village, Badung, Bali at November 24th 2013 on World Diabetic Day
event. Data were collected from people who came into the event. Diabetic status were
collected by intervew. Sample’s height and body weight are measured by researcher. The
classification of sample’s BMI are 1.5% in underweight status, 51.5% are in normal BMI
state, 36.8% are classified as overweight and 10.3% are obese. It is found that 50% of
diabetic samples are classified as above-normal BMI status, the rest is in normal BMI state.
Among non diabetic sample 53.33% are in normal BMI sate, 43.33 % are classified as abovenormal BMI value (overweight and obese), 3.33 % in underweight state.
Keywords: body mass index, obesity, diabetes mellitus.
STATUS INDEKS MASSA TUBUH
DI ANTARA SAMPEL DIABETES DAN NON DIABETES
PADA HARI DIABETES SEDUNIA TAHUN 2013
DI DESA KERTALANGU
ABSTRAK
Gaya hidup yang tidak terkontrol berisiko mengalami berbagai penyakit, khususnya penyakit
degeneratif. Diabetes mellitus merupakan penyakit metabolik yang dapat meyebabkan
mortalitas karena komplikasi yang ditimbulkan. Faktor risiko dari penyakit ini adalah
kurangnya aktivitas fisik, riwayat penyakit dalam keluarga, usia dan obesitas. Tujuan dari
penelitian ini adalah untuk mengetahui prevalensi dari Indeks Massa Tubuh di antara sampel
yang menderita dan tidak menderita diabetes. Penelitian ini diadakan di Desa Kertalangu,
Badung, Bali pada tanggal 24 November 2013 pada acara Hari Diabetes Sedunia. Data
didapatkan dari peserta yang datang ke acara tersebut. Status diabetes didapatkan dengan
wawancara. Tinggi dan berat badan sampel diukur oleh peneliti. Klasifikasi IMT sampel
adalah 1,5% berat badan kurang, 51,5% normal, 36,8% berat badan lebih dan 10,3% obesitas.
Ditemukan 50% dari sampel yang menderita diabetes memiliki IMT di atas normal, sisanya
dalam kategori normal. Di antara sampel yang tidak menderita diabetes 53,33% memiliki
IMT normal, 43,33% dengan berat badan lebih dan 3,33% berat badan kurang.
katakunci: body mass index, obesity, diabetes mellitus.
BACKGROUND
such as obesity, and this condition then
leads to suffer any degenerative disease, in
The uncontrolled of lifestyle is followed
by the increasing risk of disease, especially
the degeneratif one. There are several
reason why people can’t control their
this case is Diabetes Mellitus (DM). But
one thing that we should remember is
genetic also has a role in this case.
healthy lifestyle. It could be because they
Obesity can be determined by Body Mass
are too busy to remember when they
Index (BMI) status. It is calculate from
should eat, what to eat, have no time to
individual height and body weight. Under
exercise, using drugs or smoke as a stress
18.5 is categorized as underweight, BMI
reliever, or don’t care how the food are
between
made. Other reason could be educational
normal (some article called it healthy
factor, lack of knowledge. They don’t
weight), overweight is ≤ 25 and obese is ≤
know the cause of disease, how to prevent
30.1
or treat it. All of those reason can leads
people to suffer bad physical condition
18.6-24.9
is
categorized
as
Diabetes mellitus is a group of metabolic
analysis is used to find out the prevalence
diseases characterized by elevated blood
of obese (BMI status) and Diabteic
glucose levels (hyperglycemia) resulting
Mellitus status.
from defects in insulin secretion, insulin
The population are diabetic and non
action or both.2
diabetic adult people. The samples are
WHO diagnostic criteria for diabetes
diabetic and non diabetic adult people (≥17
should be maintained fasting plasma
years old) who attended World Diabetic
glucose ≥7.0mmol/l (126mg/dl) or 2–h
Day event in Kertalangu on November 24th
plasma glucose ≥11.1mmol/l (200mg/dl).3
2013. Samples are chosen by using quota
sampling method.
It is known that the risk factor of the
disease are lack of physical activity, family
Subject in this research are both diabetic
history, age, overweight and also obesity.1
and non diabetic adult people who come
into
World
Diabetic
Day
event
in
METHOD
Kertalangu on November 24th 2013. Both
The research is held in Kertalangu Village,
diabetic and non diabetic adult people who
Badung, Bali at November 24th 2013 on
came into World Diabetic Day event in
World Diabetic Day (WDD) event. Data
Kertalangu on November 24th 2013 were
were collected from people who come into
passing the measurement of body weight
WDD event. Sample’s height and body
(Kg) and height (m), and the diabetic
weight were measured by researcher.
status (yes or no question) by interview,
Sample’s height and body weight then
and DM status is determine according to
calculated to know the BMI value by
doctor’s diagnose. Other data that are also
dividing the body weight (in Kilogram)
collected are sample’s name, age, sex,
with body height (in meter2). Other data
body weight, body height, diabetic status
that were also collected are name, sex, age,
and duration of suffering DM.
job, and marital status. This research is
using cross sectional descriptive analysis
to find out the prevalence of obese (BMI
status) and Diabetic Mellitus. Univariate
cross sectional descriptive analysis is used
to analysze the characteristic of samples.
Bivariate
cross
sectional
descriptive
The variable in this research are sample’s
characteristic (age, sex, body weight, body
height), the BMI status (underweight,
normal, overweight, obese) and Diabetic
Mellitus status. Sample’s BMI is classified
by using WHO guideline
diabetic sample is higher (55.9%) rather
RESULT
than non diabetic patient (44.1%). By an
The average age of samples is 58 ± 12.47
years, the youngest sample is 17 years old
and the oldest is 78 years old. The
proportion of male and female is 45.6%
and 54.4%. The average of samples’ body
weight is 63.91 ± 11.07 Kg, with the
lowest body weight is 43.4 Kg and the
highest body weight is 94.6 Kg. The
average body height of sample is 1.59 ±
0.08 m, the shortest height is 1.40 m and
the tallest is 1.80 m. The mean BMI value
of sample is 25.34 ± 4.04 with the lowest
BMI is 18.40 and the highest one is 39.38.
Table 1. Sample’s Characteristic
Total
Characteristic
(N=68
interview with 38 diabetic samples, it is
known that 34.2% of them are suffering of
the disease since ≤5 years ago, 39.5% are
suffering of the disease since 6-10 years
ago, and 26.3% are suffering of the disease
more than 10 years ago.
From 68 samples, 38 of them are suffering
diabetes and 30 are non diabetic samples.
The proportion of diabetic and non
diabeticsamples
in
underweight
BMI
category is 0:1. In normal BMI category
there are 19 sample suffering diabetes and
16 sample have no diabetes. In overweight
category, the proportion of diabetic sample
is higher (17 samples) thannon diabetic
Percentage
(%)
people)
sample (8 samples). In obese category
there are 2 samples that suffering diabetes
and 5 samples of non diabetic status.
Sex
Male
31
45.6
Female
37
54.4
1
1.5
Normal
35
51.5
Overweight
25
36.8
7
10.2
Diabetes
38
55.9
Non Diabetes
30
44.1
BMI
Underweight
Obese
Diabetic Status
Table 1 explain that the classification of
sample’s BMI are 1.5% in underweight
status, 51.5% are in normal BMI state,
36.8% are classified as overweight and
10.3% are obese. The proportion of
Below are the table of the prevalence of
BMI status among diabetic and non
diabetic samples. The data is written as
table bellow.
the tallest is 1.80 m. The proportion of
Table 2. The prevalence of BMI Status
among Diabetes and non Diabetic Sample
Characteristic
Diabetes
Yes
Total
No
BMI
diabetic sample and non diabetic sample is
55.9% : 44.1%. According to data and
calculation, we can conclude that the
samples’ distribution is normal.
The dominant BMI state in non diabetic
0
1
1
samples is in normal state, 16 samples
Normal
19
16
35
(53.3%). One of the non diabetic sample
Overweight
17
8
25
is in underweight state, 8 samples in
Obese
2
5
7
overweight state and 5 samples are at
38
30
68
obese state. Obesity is the major risk factor
Underweight
Total
of type 2 diabetes mellitus.4 In this
The dominant BMI state in non diabetic
samples is in normal state, 16 samples
(53.3%). It is appropriate with the theory
that normal body weight or BMI will
reduce the risk of diabetic disease,
especially Type 2 DM,4 but the correlation
between this condition can’t conclude by
this research because it needs further
analytical research.
DISSCUSION
research found that 55.9% of sample (38
samples) are suffering diabetes mellitus,
and 50% of them are classified as abovenormal BMI state (overweight and obese).
The dominant BMI status category among
diabetic samples is in normal state (19
samples), there are 17 diabetic samples
that classified in overweight state, and
there are only 2 sample in obese state. This
condition can affected by several factor,
such as the diet, the duration of suffering
disease, therapy, daily activity, and stress
From total 68 samples, it is found that the
level.
average age is 58 ± 12,47 years, with the
youngest sample is 17 years old and the
Those 50% from total diabetic samples and
oldest is 78 years old. The average of
43.33% non diabetic sample who has BMI
sample’s body weight is 63.91 ± 11.07 Kg,
value above normal should be reduce the
with the lowest body weight is 43.4 Kg
body weight to control the disease and also
and the highest body weight is 94.6 Kg.
to control the complication because based
The average body height of sample is 1.59
on the theory, samples who are has BMI
± 0.08 m, the shortest height is 1.40 m and
value above normal can affect several
factor that can worse the disease since
control body weight. Exercise provides a
obesity is associated with an increase in
multitude of general health benefits such
TNF production in adipose tissue that lead
as bettering bone and muscle strength,
to inflammation and being the major driver
blood pressure levels, mental health, and it
to Type 2 DM that cause desensitization to
can also reduce the risk of cardiovascular
insulin signaling.4 Either overweight or
disease
obesity
playing a larger role in weight loss than
can
affect
adiponectin.
Adiponectin is adipose tissue-specific
and
diabetes.
However,
diet
exercise.1
bioactive substances that can improves
insulin sensitivity.5
Study shows that intensive and structured
lifestyle modification that results in loss of
approximately 5% of initial body weight
can reduce the risk of progression from
impaired fasting glucose or impaired
glucose tolerance to type 2 diabetes by
almost 60%.6
REFFERENCE
1. Lindsay Jones, M.S.; Sangeetha
Shivaji, M.S.; Arthur G. Cosby, Ph.D.;
Tara MorganWith the Advice of:
Marshall Bouldin, M.D.; Herman A.
Taylor, Jr., M.D., M.P.H. Obesity,
Cardiovascular Disease & Diabetes.
2010
2. Emily Loghmani. Diabetes Mellitis:
Type 1 and Type 2. Guidelines for
Adolescent Nutrition Services (2005).
Chapter 14
CONCLUSION
The result shows that 50% of diabetic
samples are classified as above-normal
3. World
Health
Organization.
Defianition and Diagnosis of Diabetes
Mellitus
and
Intermediate
Hyperglycemia. 2006
BMI value (overweight and obese), the
rest is in normal BMI state. Among non
diabetic sample 53.33 % are in normal
BMI state, 43.33 % are classified as
above-normal BMI value (overweight and
obese) 3.33 % in underweight state, but the
4. Terrence P. McGarty. Obesity and
Type 2 Diabetes: Cause And Effect.
The Telmarc Group. November 2010
5. A. Hussain, M.Z.I .Hydrie, B
.Claussen, S. Asghar. Type 2 Diabetes
and obesity: A review. Journal of
Diabetology,
June
2010;
2:1
correlation among those condition can’t
conclude by this research because it needs
further analytical research.
After the result found, the suggestion to
samples and reader are exercise and diet to
6. Thomas Ransom MD, MSc, FRCPC,
Ronald Goldenberg MD, FRCPC,
FACE, Amanda Mikalachki RN,
CDE, Ally P.H. PrebtaniBScPhm,
MD, FRCPC, ZubinPunthakee MD,
MSc, FRCPC. Reducing the Risk of
Developing Diabetes. Can J Diabetes
37 (2013)
AMONG DIABETIC AND NON DIABETIC SAMPLES
WHO ATTENDED WORLD DIABETIC DAY EVENT 2013
IN KERTALANGU VILLAGE
I Gusti Agung Ayu Indrayuni1 and Wira Gotera2
1
Faculty of Medicine, Udayana University
2
Internal Medicine, Sanglah Hospital Denpasar
ABSTRACT
The uncontrolled lifestyle is followed by the increasing risk of disease, especially the
degenerative one. Diabetes mellitus is a metabolic disease that can cause mortality by its
complication. Risk factors that contribute to the disease are lack of physical activity, family
history, age, overweight and also obesity. The aim of this research is to find out the
prevalence of body mass index status in diabetic and non diabetic samples. The research is
held in Kertalangu Village, Badung, Bali at November 24th 2013 on World Diabetic Day
event. Data were collected from people who came into the event. Diabetic status were
collected by intervew. Sample’s height and body weight are measured by researcher. The
classification of sample’s BMI are 1.5% in underweight status, 51.5% are in normal BMI
state, 36.8% are classified as overweight and 10.3% are obese. It is found that 50% of
diabetic samples are classified as above-normal BMI status, the rest is in normal BMI state.
Among non diabetic sample 53.33% are in normal BMI sate, 43.33 % are classified as abovenormal BMI value (overweight and obese), 3.33 % in underweight state.
Keywords: body mass index, obesity, diabetes mellitus.
STATUS INDEKS MASSA TUBUH
DI ANTARA SAMPEL DIABETES DAN NON DIABETES
PADA HARI DIABETES SEDUNIA TAHUN 2013
DI DESA KERTALANGU
ABSTRAK
Gaya hidup yang tidak terkontrol berisiko mengalami berbagai penyakit, khususnya penyakit
degeneratif. Diabetes mellitus merupakan penyakit metabolik yang dapat meyebabkan
mortalitas karena komplikasi yang ditimbulkan. Faktor risiko dari penyakit ini adalah
kurangnya aktivitas fisik, riwayat penyakit dalam keluarga, usia dan obesitas. Tujuan dari
penelitian ini adalah untuk mengetahui prevalensi dari Indeks Massa Tubuh di antara sampel
yang menderita dan tidak menderita diabetes. Penelitian ini diadakan di Desa Kertalangu,
Badung, Bali pada tanggal 24 November 2013 pada acara Hari Diabetes Sedunia. Data
didapatkan dari peserta yang datang ke acara tersebut. Status diabetes didapatkan dengan
wawancara. Tinggi dan berat badan sampel diukur oleh peneliti. Klasifikasi IMT sampel
adalah 1,5% berat badan kurang, 51,5% normal, 36,8% berat badan lebih dan 10,3% obesitas.
Ditemukan 50% dari sampel yang menderita diabetes memiliki IMT di atas normal, sisanya
dalam kategori normal. Di antara sampel yang tidak menderita diabetes 53,33% memiliki
IMT normal, 43,33% dengan berat badan lebih dan 3,33% berat badan kurang.
katakunci: body mass index, obesity, diabetes mellitus.
BACKGROUND
such as obesity, and this condition then
leads to suffer any degenerative disease, in
The uncontrolled of lifestyle is followed
by the increasing risk of disease, especially
the degeneratif one. There are several
reason why people can’t control their
this case is Diabetes Mellitus (DM). But
one thing that we should remember is
genetic also has a role in this case.
healthy lifestyle. It could be because they
Obesity can be determined by Body Mass
are too busy to remember when they
Index (BMI) status. It is calculate from
should eat, what to eat, have no time to
individual height and body weight. Under
exercise, using drugs or smoke as a stress
18.5 is categorized as underweight, BMI
reliever, or don’t care how the food are
between
made. Other reason could be educational
normal (some article called it healthy
factor, lack of knowledge. They don’t
weight), overweight is ≤ 25 and obese is ≤
know the cause of disease, how to prevent
30.1
or treat it. All of those reason can leads
people to suffer bad physical condition
18.6-24.9
is
categorized
as
Diabetes mellitus is a group of metabolic
analysis is used to find out the prevalence
diseases characterized by elevated blood
of obese (BMI status) and Diabteic
glucose levels (hyperglycemia) resulting
Mellitus status.
from defects in insulin secretion, insulin
The population are diabetic and non
action or both.2
diabetic adult people. The samples are
WHO diagnostic criteria for diabetes
diabetic and non diabetic adult people (≥17
should be maintained fasting plasma
years old) who attended World Diabetic
glucose ≥7.0mmol/l (126mg/dl) or 2–h
Day event in Kertalangu on November 24th
plasma glucose ≥11.1mmol/l (200mg/dl).3
2013. Samples are chosen by using quota
sampling method.
It is known that the risk factor of the
disease are lack of physical activity, family
Subject in this research are both diabetic
history, age, overweight and also obesity.1
and non diabetic adult people who come
into
World
Diabetic
Day
event
in
METHOD
Kertalangu on November 24th 2013. Both
The research is held in Kertalangu Village,
diabetic and non diabetic adult people who
Badung, Bali at November 24th 2013 on
came into World Diabetic Day event in
World Diabetic Day (WDD) event. Data
Kertalangu on November 24th 2013 were
were collected from people who come into
passing the measurement of body weight
WDD event. Sample’s height and body
(Kg) and height (m), and the diabetic
weight were measured by researcher.
status (yes or no question) by interview,
Sample’s height and body weight then
and DM status is determine according to
calculated to know the BMI value by
doctor’s diagnose. Other data that are also
dividing the body weight (in Kilogram)
collected are sample’s name, age, sex,
with body height (in meter2). Other data
body weight, body height, diabetic status
that were also collected are name, sex, age,
and duration of suffering DM.
job, and marital status. This research is
using cross sectional descriptive analysis
to find out the prevalence of obese (BMI
status) and Diabetic Mellitus. Univariate
cross sectional descriptive analysis is used
to analysze the characteristic of samples.
Bivariate
cross
sectional
descriptive
The variable in this research are sample’s
characteristic (age, sex, body weight, body
height), the BMI status (underweight,
normal, overweight, obese) and Diabetic
Mellitus status. Sample’s BMI is classified
by using WHO guideline
diabetic sample is higher (55.9%) rather
RESULT
than non diabetic patient (44.1%). By an
The average age of samples is 58 ± 12.47
years, the youngest sample is 17 years old
and the oldest is 78 years old. The
proportion of male and female is 45.6%
and 54.4%. The average of samples’ body
weight is 63.91 ± 11.07 Kg, with the
lowest body weight is 43.4 Kg and the
highest body weight is 94.6 Kg. The
average body height of sample is 1.59 ±
0.08 m, the shortest height is 1.40 m and
the tallest is 1.80 m. The mean BMI value
of sample is 25.34 ± 4.04 with the lowest
BMI is 18.40 and the highest one is 39.38.
Table 1. Sample’s Characteristic
Total
Characteristic
(N=68
interview with 38 diabetic samples, it is
known that 34.2% of them are suffering of
the disease since ≤5 years ago, 39.5% are
suffering of the disease since 6-10 years
ago, and 26.3% are suffering of the disease
more than 10 years ago.
From 68 samples, 38 of them are suffering
diabetes and 30 are non diabetic samples.
The proportion of diabetic and non
diabeticsamples
in
underweight
BMI
category is 0:1. In normal BMI category
there are 19 sample suffering diabetes and
16 sample have no diabetes. In overweight
category, the proportion of diabetic sample
is higher (17 samples) thannon diabetic
Percentage
(%)
people)
sample (8 samples). In obese category
there are 2 samples that suffering diabetes
and 5 samples of non diabetic status.
Sex
Male
31
45.6
Female
37
54.4
1
1.5
Normal
35
51.5
Overweight
25
36.8
7
10.2
Diabetes
38
55.9
Non Diabetes
30
44.1
BMI
Underweight
Obese
Diabetic Status
Table 1 explain that the classification of
sample’s BMI are 1.5% in underweight
status, 51.5% are in normal BMI state,
36.8% are classified as overweight and
10.3% are obese. The proportion of
Below are the table of the prevalence of
BMI status among diabetic and non
diabetic samples. The data is written as
table bellow.
the tallest is 1.80 m. The proportion of
Table 2. The prevalence of BMI Status
among Diabetes and non Diabetic Sample
Characteristic
Diabetes
Yes
Total
No
BMI
diabetic sample and non diabetic sample is
55.9% : 44.1%. According to data and
calculation, we can conclude that the
samples’ distribution is normal.
The dominant BMI state in non diabetic
0
1
1
samples is in normal state, 16 samples
Normal
19
16
35
(53.3%). One of the non diabetic sample
Overweight
17
8
25
is in underweight state, 8 samples in
Obese
2
5
7
overweight state and 5 samples are at
38
30
68
obese state. Obesity is the major risk factor
Underweight
Total
of type 2 diabetes mellitus.4 In this
The dominant BMI state in non diabetic
samples is in normal state, 16 samples
(53.3%). It is appropriate with the theory
that normal body weight or BMI will
reduce the risk of diabetic disease,
especially Type 2 DM,4 but the correlation
between this condition can’t conclude by
this research because it needs further
analytical research.
DISSCUSION
research found that 55.9% of sample (38
samples) are suffering diabetes mellitus,
and 50% of them are classified as abovenormal BMI state (overweight and obese).
The dominant BMI status category among
diabetic samples is in normal state (19
samples), there are 17 diabetic samples
that classified in overweight state, and
there are only 2 sample in obese state. This
condition can affected by several factor,
such as the diet, the duration of suffering
disease, therapy, daily activity, and stress
From total 68 samples, it is found that the
level.
average age is 58 ± 12,47 years, with the
youngest sample is 17 years old and the
Those 50% from total diabetic samples and
oldest is 78 years old. The average of
43.33% non diabetic sample who has BMI
sample’s body weight is 63.91 ± 11.07 Kg,
value above normal should be reduce the
with the lowest body weight is 43.4 Kg
body weight to control the disease and also
and the highest body weight is 94.6 Kg.
to control the complication because based
The average body height of sample is 1.59
on the theory, samples who are has BMI
± 0.08 m, the shortest height is 1.40 m and
value above normal can affect several
factor that can worse the disease since
control body weight. Exercise provides a
obesity is associated with an increase in
multitude of general health benefits such
TNF production in adipose tissue that lead
as bettering bone and muscle strength,
to inflammation and being the major driver
blood pressure levels, mental health, and it
to Type 2 DM that cause desensitization to
can also reduce the risk of cardiovascular
insulin signaling.4 Either overweight or
disease
obesity
playing a larger role in weight loss than
can
affect
adiponectin.
Adiponectin is adipose tissue-specific
and
diabetes.
However,
diet
exercise.1
bioactive substances that can improves
insulin sensitivity.5
Study shows that intensive and structured
lifestyle modification that results in loss of
approximately 5% of initial body weight
can reduce the risk of progression from
impaired fasting glucose or impaired
glucose tolerance to type 2 diabetes by
almost 60%.6
REFFERENCE
1. Lindsay Jones, M.S.; Sangeetha
Shivaji, M.S.; Arthur G. Cosby, Ph.D.;
Tara MorganWith the Advice of:
Marshall Bouldin, M.D.; Herman A.
Taylor, Jr., M.D., M.P.H. Obesity,
Cardiovascular Disease & Diabetes.
2010
2. Emily Loghmani. Diabetes Mellitis:
Type 1 and Type 2. Guidelines for
Adolescent Nutrition Services (2005).
Chapter 14
CONCLUSION
The result shows that 50% of diabetic
samples are classified as above-normal
3. World
Health
Organization.
Defianition and Diagnosis of Diabetes
Mellitus
and
Intermediate
Hyperglycemia. 2006
BMI value (overweight and obese), the
rest is in normal BMI state. Among non
diabetic sample 53.33 % are in normal
BMI state, 43.33 % are classified as
above-normal BMI value (overweight and
obese) 3.33 % in underweight state, but the
4. Terrence P. McGarty. Obesity and
Type 2 Diabetes: Cause And Effect.
The Telmarc Group. November 2010
5. A. Hussain, M.Z.I .Hydrie, B
.Claussen, S. Asghar. Type 2 Diabetes
and obesity: A review. Journal of
Diabetology,
June
2010;
2:1
correlation among those condition can’t
conclude by this research because it needs
further analytical research.
After the result found, the suggestion to
samples and reader are exercise and diet to
6. Thomas Ransom MD, MSc, FRCPC,
Ronald Goldenberg MD, FRCPC,
FACE, Amanda Mikalachki RN,
CDE, Ally P.H. PrebtaniBScPhm,
MD, FRCPC, ZubinPunthakee MD,
MSc, FRCPC. Reducing the Risk of
Developing Diabetes. Can J Diabetes
37 (2013)