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OBESITY: AN EMERGING
THREAT
Dr. Nikhil Tandon
Additional Professor
Department of Endocrinology
All India Institute of Medical Sciences
New Delhi
PREVALENCE OF OBESITY IN DELHI SCHOOL CHILDREN
FROM DIFFERENT SOCIO -ECONOMIC GROUPS
0
200
400
600
800
1000
1200
1400
Private Boys Girls Govt.
Total
Non-obese
Obese /Overwt.
23.9
28.7
1.5
24.4
Tandon and colleagues, 2004
Obesity in Children and Young Adults
17
16
21
17
0
5
10
15
20
25 Males
Females
Obesity Abdominal
Obesity
Misra and colleagues, International Journal of Obesity, 2004
Childhood Obesity is the Important
Determinant for Diabetes in Children
Snapshot
•Youth-onset Type 2 diabetes
is a real concern in many
countries
•Our data show that increase
fat over chest and abdomen is
a extremely important
determinant of youth-onset
diabetes
Type 2 Diabetes Mellitus in Children, Adolescents and
Young Adult Asian Indians (CAYA-2DM Trial):
A Multicenter Collaborative study
Objective
To study the anthropometric, biochemical and
immunological profiles of children, adolescents and
young adults with type 2 diabetes mellitus and
compare them with age-matched healthy controls
Subjects:
• 31 patients; 59 age-matched healthy controls
Anthropometric Profile:
• Body mass index, waist circumference, waist-hip
ratio, skinfold thickness at 8 sites
• Percentage body fat by two-point bioelectrical
impedance
CAYA-2DM Trial
Methods
Variable(s) Cases (n=31) Controls (n=59)
Pulse rate 81.6±10.3 83.2±10.2
Systolic BP
(mmHg)
121.5±12.3 114.7±12.2***
Diastolic BP
(mmHg)
76.6±11.1 75.1±11.0
BMI (kg/m2) 24.7±5.3 20.8±5.3**
Waist
Circumference (cm)
83.0±15.4 70.9±15.2***
Waist Hip Ratio 0.89±0.07 0.80±0.07***
*:p<0.05; **: p<0.01; ***: p<0.001
CAYA-2DM Trial
Comparative Clinical Profile
CAYA-2DM Trial
Comparison of Cases and Controls
Variable(s) Cases (n=31) Controls (n=59)
Skinfold thickness (mm)
Biceps 13.8±6.3 8.7±6.3**
Triceps 21.2±8.8 15.6±8.7*
Subscapular 29.0±10.7 17.5±10.7***
Suprailiac 29.7±12.4 18.9±12.3**
Thigh 31.7±13.2 25.5±13.0
Calf 19.5±7.3 17.3±7.2
Percent body fat 33.1±9.7 23.9±9.6***
*:p<0.05; **: p<0.01; ***: p<0.001
CAYA-2DM Trial
Comparison of Cases and Controls
Variable(s) Cases (n=31) Controls (n=59)
Overweight (BMI>25 kg/m2) 42.9 8.5**
High %BF (>25% M, >30% F) 59.3 19.0**
High WC (>102 cm M, > 88 F) 21.4 5.1*
High W-HR (>0.95 M,> 0.80 F) 46.4 10.36**
Hypercholesterolemia (>200 mg/dL) 21.4 5.1*
Hypertriglyceridemia (>150 mg/dL) 39.3 5.1**
Low HDL-C (< 40 M, < 50 F) 46.4 23.7*
High LDL-C (>130 mg/dL) 7.1 5.1
*:p<0.05; **: p<0.01; ***: p<0.001
Generalized (high BMI) as well as abdominal
obesity (high W-HR) are the most important
predictors for early onset of IGT and T2DM in
Asian Indians.
CAYA-2DM Trial
Conclusions
How to Predict Diabetes in Children
Parameter Risk
Abdominal obesity & family
history of diabetes
68 times
CAYA-2DM Trial
Weight Percentiles of Cases:
Birth and Current
0
10
20
30
40
50
60
70
80
90
100
Birthweight Present weight
Percentiles
Figure 3: BMI in subjects with IGT/IFG/DM (red line) and lowest
quartile for 120 minute plasma glucose (green line).
Age (years)
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
Mean
Z
Score
.4
.3
.2
.1
-.0
-.1
-.2
-.3
IGT/IFG/DM
low 120 min glucose
Cohort mean
Table 2: Prevalence (%) of High Normal Blood Pressure, Impaired Glucose Tolerance and
Obesity in Relation to Adiposity Rebound Age
Adiposity rebound
age (years)
High normal BP IGT/IFG/DM Obesity
(BMI ³30kg/m
2
)
2 and 3 24.5 20.2 20.5
4 and 5 24.1 18.5 18.8
6 23.5 13.1 14.3
7 17.0 13.4 9.8
8 17.6 10.2 4.9
9 15.5 13.0 1.5
Total 19.7 13.7 10.7
p value for linear
trend
0.008 0.009 0.000
ISSUES
• Increasing obesity
• Contributory factors:
- calorie dense food
- consumption of processed foods
- limited physical activity
- sedentary interests: computers, TV,
video games
• THE SEED FOR ADULT OBESITY IS
SOWN EARLY - CHILDHOOD
INTERVENTIONS
• Catch them young - school age children
must be targeted
• Increase awareness: media; school teachers;
governmental and NGO effort
• Minimise advertising pressure for “junk
foods”
• School play grounds; “Games periods”
• Health food in school canteens

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CSE presentation 050804-nikhil tandon.ppt

  • 1. OBESITY: AN EMERGING THREAT Dr. Nikhil Tandon Additional Professor Department of Endocrinology All India Institute of Medical Sciences New Delhi
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. PREVALENCE OF OBESITY IN DELHI SCHOOL CHILDREN FROM DIFFERENT SOCIO -ECONOMIC GROUPS 0 200 400 600 800 1000 1200 1400 Private Boys Girls Govt. Total Non-obese Obese /Overwt. 23.9 28.7 1.5 24.4 Tandon and colleagues, 2004
  • 7. Obesity in Children and Young Adults 17 16 21 17 0 5 10 15 20 25 Males Females Obesity Abdominal Obesity Misra and colleagues, International Journal of Obesity, 2004
  • 8. Childhood Obesity is the Important Determinant for Diabetes in Children Snapshot •Youth-onset Type 2 diabetes is a real concern in many countries •Our data show that increase fat over chest and abdomen is a extremely important determinant of youth-onset diabetes
  • 9. Type 2 Diabetes Mellitus in Children, Adolescents and Young Adult Asian Indians (CAYA-2DM Trial): A Multicenter Collaborative study Objective To study the anthropometric, biochemical and immunological profiles of children, adolescents and young adults with type 2 diabetes mellitus and compare them with age-matched healthy controls
  • 10. Subjects: • 31 patients; 59 age-matched healthy controls Anthropometric Profile: • Body mass index, waist circumference, waist-hip ratio, skinfold thickness at 8 sites • Percentage body fat by two-point bioelectrical impedance CAYA-2DM Trial Methods
  • 11. Variable(s) Cases (n=31) Controls (n=59) Pulse rate 81.6±10.3 83.2±10.2 Systolic BP (mmHg) 121.5±12.3 114.7±12.2*** Diastolic BP (mmHg) 76.6±11.1 75.1±11.0 BMI (kg/m2) 24.7±5.3 20.8±5.3** Waist Circumference (cm) 83.0±15.4 70.9±15.2*** Waist Hip Ratio 0.89±0.07 0.80±0.07*** *:p<0.05; **: p<0.01; ***: p<0.001 CAYA-2DM Trial Comparative Clinical Profile
  • 12. CAYA-2DM Trial Comparison of Cases and Controls Variable(s) Cases (n=31) Controls (n=59) Skinfold thickness (mm) Biceps 13.8±6.3 8.7±6.3** Triceps 21.2±8.8 15.6±8.7* Subscapular 29.0±10.7 17.5±10.7*** Suprailiac 29.7±12.4 18.9±12.3** Thigh 31.7±13.2 25.5±13.0 Calf 19.5±7.3 17.3±7.2 Percent body fat 33.1±9.7 23.9±9.6*** *:p<0.05; **: p<0.01; ***: p<0.001
  • 13. CAYA-2DM Trial Comparison of Cases and Controls Variable(s) Cases (n=31) Controls (n=59) Overweight (BMI>25 kg/m2) 42.9 8.5** High %BF (>25% M, >30% F) 59.3 19.0** High WC (>102 cm M, > 88 F) 21.4 5.1* High W-HR (>0.95 M,> 0.80 F) 46.4 10.36** Hypercholesterolemia (>200 mg/dL) 21.4 5.1* Hypertriglyceridemia (>150 mg/dL) 39.3 5.1** Low HDL-C (< 40 M, < 50 F) 46.4 23.7* High LDL-C (>130 mg/dL) 7.1 5.1 *:p<0.05; **: p<0.01; ***: p<0.001
  • 14. Generalized (high BMI) as well as abdominal obesity (high W-HR) are the most important predictors for early onset of IGT and T2DM in Asian Indians. CAYA-2DM Trial Conclusions
  • 15. How to Predict Diabetes in Children Parameter Risk Abdominal obesity & family history of diabetes 68 times
  • 16.
  • 17. CAYA-2DM Trial Weight Percentiles of Cases: Birth and Current 0 10 20 30 40 50 60 70 80 90 100 Birthweight Present weight Percentiles
  • 18. Figure 3: BMI in subjects with IGT/IFG/DM (red line) and lowest quartile for 120 minute plasma glucose (green line). Age (years) 30 28 26 24 22 20 18 16 14 12 10 8 6 4 2 0 Mean Z Score .4 .3 .2 .1 -.0 -.1 -.2 -.3 IGT/IFG/DM low 120 min glucose Cohort mean
  • 19. Table 2: Prevalence (%) of High Normal Blood Pressure, Impaired Glucose Tolerance and Obesity in Relation to Adiposity Rebound Age Adiposity rebound age (years) High normal BP IGT/IFG/DM Obesity (BMI ³30kg/m 2 ) 2 and 3 24.5 20.2 20.5 4 and 5 24.1 18.5 18.8 6 23.5 13.1 14.3 7 17.0 13.4 9.8 8 17.6 10.2 4.9 9 15.5 13.0 1.5 Total 19.7 13.7 10.7 p value for linear trend 0.008 0.009 0.000
  • 20. ISSUES • Increasing obesity • Contributory factors: - calorie dense food - consumption of processed foods - limited physical activity - sedentary interests: computers, TV, video games • THE SEED FOR ADULT OBESITY IS SOWN EARLY - CHILDHOOD
  • 21. INTERVENTIONS • Catch them young - school age children must be targeted • Increase awareness: media; school teachers; governmental and NGO effort • Minimise advertising pressure for “junk foods” • School play grounds; “Games periods” • Health food in school canteens
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