The waistline of Indian men is
expanding faster than women with general obesity
and abdominal obesity reaching a epidemic in Indian subject with
diabetes
Lalitha R 1, Surekha B
Shetty 2, Anil Kumar.R. 3
1Dr Lalitha R, Consultant Diabetologist, 2Dr Surekha B Shetty,
Consultant Diabetologist, 3Dr Anil Kumar R, Consultant Diabetologist,
all authors are affiliated with Karnataka Institute of Endocrinology
and Research, Bannerghatta Road, 9th block Jayanagar, Bangalore, India.
Address for
Correspondence: Dr Lalitha R, Karnataka
Institute of Endocrinology and Research, Bannerghatta Road, 9th block
Jayanagar, Bangalore, India. Email- drlalithashivaprakash@gmail.com
Abstract
Background &
Objectives: People with obesity and overweight are
increasing in India. This study aimed at determining the prevalence of
generalized and abdominal obesity in diabetics and comparison between
genders. Methods: An observational study held at Diabetes centre,
between 2013-2014. Classification of obesity was done using WHO and IDF
criteria for BMI in Asians, while Waist Circumference and WHR per IDF
criteria. WHO Asia Pacific guidelines were used to define overweight
[body mass index (BMI) ≥23 kg/m2 but <25 kg/m2,
generalized obesity, BMI≥25kg/m2), abdominal obesity, waist
circumference ≥90 cm in men, ≥80cm for women). 4504
subjects (men 2741, women 1763) with diabetes aged ≥ of 25 were
recruited. Results:
The prevalence rates were 2, 13, 31 & 54 % women and 3, 23, 48,
& 26% men were lean, normal, overweight and obese respectively.
Comparing the waist circumference between men and women with IDF
criteria 65% men (n=9235) and 89 %( n=8175) have a WC above the normal.
Waist hip ratio, identified higher prevalence rate in men (89%)
compared to women (76%) and WHR was a sensitive index compared to WC. Interpretation &
Conclusions: Higher prevalence of abdominal obesity
compared to general obesity in diabetic population affected both
genders similarly. Both general and abdominal obesity prevalence are
higher in women than men. Our study found that AO had a higher
prevalence in men contrary to the belief that women have higher AO.
Abdominal obesity is directly linked to increased morbidity.
Keywords:
Abdominal Obesity; General Obesity; Diabetes; Indians, Waist
Circumference
Manuscript received: 25th
September 2016, Reviewed:
10th October 2016
Author Corrected:
20th October 2016,
Accepted for Publication: 31st October 2016
Introduction
According to the World health Organisation (WHO) obesity has more than
doubled and affects more than 1.9 billion adults aged 18 years and
older were overweight. Of these over 600 million adults were obese
based on WHO global estimates in 2014. Obesity is now affecting India
in similar pattern to global presence. The projected prevalence of
overweight increased from 2005 to 2015 as per WHO is 22% in men to 31%,
women 21% to 29% respectively [1, 2]. Diabetes is already a huge burden
on the health care system in India; in addition, obesity and overweight
can multiply the health risks by increasing cardiovascular mortality,
obstructive pulmonary disease, musculoskeletal disorders, hypertension,
dyslipidaemia and cancers [3, 4]. Due to these increased risks obesity
is considered as a disease in its own right. The risk for these
disorders appears to start from a body mass index (BMI) of about 21
kg/m2. Obesity is generally classified as generalized obesity (GO) and
abdominal obesity (AO). Individuals with obesity have higher rates of
mortality and morbidity compared to non-obese individuals. [3, 4].
India is the second most highly populated country in the world and is
currently experiencing an astronomical epidemiological transition in
relation to diabetes. Rapid development has driven a fast-growing
epidemic of diabetes in India. Diabetes cases in age group (20-79) in
1000s is 65,076.36. Diabetes related deaths in age group (20-79) is
1,065,053. The Diabetes raw national prevalence is 8.56%. Number of
people with undiagnosed diabetes (20-79) in 1000s is 31,919.96[5]. As
India continues to undergo large-scale urbanisation and life expectancy
rises, the diabetes prevalence is estimated to increase by 70% in the
next two decades. Diabetes is increasingly affecting individuals in
their most productive years. This will pose a challenge to governments
working to improve the economic situation in our country. More than
half of the deaths due to diabetes occur in people under 60 years of
age and one quarter in people under 50 years of age.
Under nutrition due to poverty in the past, is being rapidly replaced
by obesity associated with affluence [6]. Various studies from
different regions of India have provided evidence of the rising
prevalence of obesity [6-9]. We need to know our regional prevalence to
tackle this issue and take health measures to halt the rapid
progression.
Material
& Methods
This is a cross sectional study of type 2 diabetic subjects attending
the outpatient clinic at Karnataka Institute of Diabetology, A total of
4504 individuals (2741 men and 1763 women) aged between 25-85 years
were selected who had a confirmed diagnosis for type 2 diabetes during
the period 2013-2014. Individuals with Type 1 diabetes, and gestational
diabetes were excluded from the study. All subjects who participated
underwent anthropometric measurements such as weight, height, hip and
waist circumference. The study was approved by the Institutional Ethics
Committee of the Karnataka Institute of Diabetology, and an informed
consent was obtained from all the participants.
Anthropometric parameters were measured using standardized techniques
[12]. Height (in centimetres) was measured using a stadiometer (SECA
Model 214, Seca Gmbh Co Hamburg, Germany). The individual was asked to
stand upright without shoes with his/her back against the vertical back
board, heels together and eyes directed forward. Weight (in kilograms)
was measured with an electronic weighing scale (SECAModel 807, Seca
Gmbh Co, Hamburg, Germany) that was kept on a firm horizontal flat
surface. Subjects were asked to wear light clothing, and weight was
recorded to the nearest 0.1 kg. Body mass index (BMI) was calculated
using the formula weight (kg)/height (m)2. Waist circumference (WC)
centimetres were measured using a non-stretchable measuring tape. WC
was measured at the smallest horizontal girth between the costal
margins and the iliac crest at the end of expiration. Hip measurement
was done using a measuring tape at the widest part of the hips.
Definitions-
Overweight was defined as a BMI ≥23 kg/m2 but <25 kg/m2
for both genders (based on the World Health Organization in Asians,
Guidelines) with or without abdominal obesity (AO). [10]
Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for
both genders (based on the World Health Organization in Asians) with or
without abdominal obesity (AO).[10]
Abdominal obesity (AO) was defined as a waist circumference (WC)
≥ 90 cm for men and ≥ 80 cm for women with or without GO
[11].
Isolated generalized obesity (IGO) was defined as a BMI ≥ 23
kg/m2 with waist circumference of < 90 cm in men and < 80
cm in women. Isolated abdominal obesity (IAO) was defined as a waist
circumference of ≥ 90 cm in men or ≥ 80 cm in women with
a BMI< 23 kg/m2. WHR of >0.9 for men >0.85 for
women.
Combined obesity (CO):
Individuals with both AO and GO. Non-obese subjects: Individuals
without GO or AO
Diabetes was defined by a confirmed physician diagnosis of diabetes and
current use of medications for diabetes (insulin or oral hypoglycaemic
agents) and/or fulfilment of criteria laid down by the WHO Consultation
Group Report, i.e. a Fasting Plasma Glucose ≥7 mmol/l(126mg/dl)
and/or a 2 h post prandial plasma Glucose ≥12.2 mmol/l(200mg/dl)
[12].
Statistical analysis-
The data were gathered and managed on an excel spreadsheet. Data from a
total of 4504 subjects with all anthropometric values were analysed.
Mean and standard deviations summarized the continuous variables. The
differences in the anthropometric parameters were compared. A
comparison was made between genders. Prevalence rates were calculated
using the standard formulas.
Results
In Table 1 we
can see the total number of subjects of the selected study population
and the total number of subjects with the averages is shown. We infer
from the table that the study population is having GO, AO and CO.
|
WOMEN
|
MEN
|
AVG HT
|
153.22
|
167.22
|
AVG WEIGHT
|
65.26
|
71.1
|
AVG BMI
|
27.66
|
25.32
|
AVG W/H
|
0.89
|
0.96
|
AVG WAIST
|
91.2
|
92.13
|
AVG HIP
|
101.15
|
94.95
|
TOTAL
|
1763
|
2741
|
General obesity as defined by BMI criteria was classified into lean,
normal, over weight and obese based on values <18.5, 18.5-23,
23.1-27.5 and >27.5 respectively. Referring to figure 1 we can
see the prevalence of general obesity in men and women. The prevalence
rates for lean, normal, over weight and obese are 2%,14%,35% and 49%
for women and 3%, 24%, 47%and 26% for men respectively. We notice that
twofold women are obese compared to men. Twofold men are overweight
than women. The prevalence rates for GO is 73% and 84% men
and women respectively.
In figure 3and 4, comparing AO in men and women we note that 1646 men
and1508 women have an abnormal waist circumference. Abnormal waist
circumference was defined as >80 centimetres(cms) for women and
>90 cms for men as per the IDF criteria. The prevalence rates of
AO are 60% and 86% for men and women respectively.
In figure 5, using waist hip ratio as defined by WHO as a cut off for
increased risk of metabolic complications as 0.9 and 0.85 for men and
women respectively. We find that men have a raised WHR in 89% compared
to 76% of women. This identifies men with AO as a better index than
measurement of a simple waist circumference. Though 86% of women have
GO we find that 76% have AO according to WHR. In contrast, only 73% men
had GO but 86% have AO as defined by WHR (fig-6)
In figure 7 comparing all the three namely GO, AO, CO, IAO, IGO we find
that the population has higher rates of CO, 80% in women and 58% in
men. IGO and IAO is 17 % and 4% for men and 4% and 5% for women
respectively.
In figure 8 we can note the age incidence of diabetes in both genders
to be similar, with both the lines in the graph overlapping each other.
Discussion
In countries like India, the rapid increase in obesity prevalence could
be attributed to the increasing urbanization, use of automotive
transport, increasing availability of processed and fast foods,
television viewing, adoption of less physically active lifestyles and
consumption of more “energy-dense, nutrient-poor”
diets [13-15]. This is exemplified by the higher prevalence of both GO
and AO in the urban population where the above factors are more common.
Many studies have reported higher prevalence of obesity among women in
different regions of India [16-18]. In a study conducted in India among
women aged 35-70 yr. the age-adjusted prevalence of obesity (BMI
≥ 25 kg/m2) in urban and rural areas was 45.6 and 22.5 per cent,
respectively [18]. A study by NFHS-3 group done in urban and
rural subjects (women aged 15-49 and men aged 15-54) in 28 states of
India, including Delhi during the year 2005-2006, showed a higher
prevalence of women who were overweight (BMI ≥ 25-29.9 kg/m2)
and obese (BMI ≥ 30 kg/m2) than males in different regions of
India [17]. These studies were carried out in general population.
Taking the diabetic population in our study we found that GO obesity
was higher in women to the extent of 86% which is nearly twofold higher
compared to general population.
Asian Indians have a higher predisposition to accumulation of visceral
fat leading to abdominal obesity and this has been named as
“Asian Indian phenotype [18-19]. Interestingly all studies so
far have shown higher GO and AO in women, however we find that men too
have higher AO than women using the WHR. This could be a sensitive
index to identify men with AO as many studies have shown lower
prevalence of GO and AO in the male population.
Conclusion
In summary, our study showed that prevalence of obesity (generalized
and abdominal) was higher in women, and has increased to very high
levels especially in the diabetic population now compared to earlier
studies. Also, the significant finding was the prevalence of
abdominal obesity was higher than the generalized obesity in men using
the WHR thus making it a better index in measuring AO. We can expect
further increase in the incidence and prevalence of obesity in India.
Obesity, particularly in young women, can have unwanted consequences
leading to infertility and development of polycystic ovary syndrome
(PCOS), which can have significant effects on the risk of development
of diabetes. Higher levels of obesity in young women are also worrisome
because it may increase the risk of gestational diabetes, type 2
diabetes, hypertension and cardiovascular disease later in the life.
This study is of significance because it shows large increases in
prevalence of obesity in the diabetic population which can be
extrapolated to the general population. With further urbanization,
changing lifestyle and behaviour we may we may expect further increase
in the incidence and prevalence of obesity in India.
Funding:
Nil, Conflict of
interest: None initiated.
Permission from IRB:
Yes
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How to cite this article?
Lalitha R, Surekha B Shetty, Anil Kumar R. The waistline of Indian men
is expanding faster than women with general obesity and abdominal
obesity reaching a epidemic in Indian subject with diabetes. Int J Med
Res Rev 2016;4(10):1853- 1858.doi:10.17511/ijmrr. 2016.i10.23.