Abnormalities of lipid profile in
overweight and obese Indian children
Minakshi B1,
Chithambaram N S2
1Minakshi B, Department of Paediatrics, VIMS & RC, Bangalore, 2Chithambaram N S, Professor, Department of Paediatrics, VIMS &
RC, Bangalore, India
Address for
correspondence: Dr N S Chithambaram
Email:chithams1@gmail.com
Abstract
Objective:
To identify the abnormalities of lipid profile early in overweight and
obese children. Study
design: Observational study. Setting: Vydehi Institute of
Medical Sciences & Research Centre, Bangalore. Participants:
100 children who are overweight and obese. Outcome Measures:
Abnormal lipid profile. Methods:
In all patients who are overweight and obese as per IAP growth charts
and who are above 6 years of age, a detailed history including
antenatal history, birth weight, diet history, personal history were
taken. In these patients demographic measures like age, sex,
anthropometric measurements weight, height, BMI, waist circumference,
waist hip ratio and blood pressure were recorded. In all the patients
fasting blood glucose, triglyceride and HDL-C were done. Results: Out of 100
children studied, 61% (61cases) were overweight and 39% (39 cases) were
obese. Males were 52% (52 cases) and females were 48% (48
cases). 92 cases had normal birth weight, 6 cases were SGA and 2cases
were LGA babies. 85% had TGL levels less than 150 mg/dl and 15% had
high or equal to 150mg/dl. 69% of the cases had HDL-C less than 40mg/dl
and 31 % of the cases had HDL-C more than or equal to 40mg/dl. Conclusions: By
doing lipid profile in overweight and obese children, we can identify
abnormal lipid profile in these children early and initiate non
pharmacological management, behavioral therapy and if required
pharmacological therapy thereby preventing these children from
developing metabolic syndrome and its associated long term
complications.
Keywords:
Lipid profile; Overweight; Obesity
Manuscript received:
14th July 2016, Reviewed:
28th July 2016
Author Corrected;
7th August 2016, Accepted
for Publication: 19th August 2016
Introduction
Childhood obesity appears with a powerful array of cardiovascular risk
factors including combined dyslipidaemia, insulin resistance and
hypertension and has been shown to be associated with pathologic
evidence of accelerated atherosclerosis in autopsy studies. The
dyslipidaemia pattern associated with childhood obesity consists of a
combination of elevated triglycerides (TG), decreased high density
lipoprotein cholesterol (HDL-C), and top normal to mildly elevated low
density lipoprotein cholesterol (LDL-C).Recent NHANES data indicate
this pattern is highly prevalent, present in 42.9%of children with
BMI>95thcentile [1]. Along with overweight or obesity, if there
are abnormalities of lipids such elevated TG, decreased HDL C, impaired
glucose and hypertension, then we call this as Metabolic Syndrome which
has long term implications on the child as it grows older. Hence it is
necessary to identify the above abnormalities in all overweight or
obesity children at the earliest and initiate appropriate specific
treatment to prevent progression to Metabolic Syndrome and prevent its
complications. India, a developing country is already known as Diabetic
Capital, has a large number of children with overweight and obesity
which further add to the problem [2]. Hence this study was done to
detect the abnormalities of lipid profile early in overweight and obese
Indian childrenabove 6 years of age.
Materials
and Methods
This observational study was conducted at Vydehi Institute of Medical
Sciences and Research Centre, Bangalore between December 2013 to
January 2015, where 100 Indian children above 6 years of age who were
overweight and obese were included in the study.
All patients above 6 years of age who are overweight and obese are
enrolled in the study. Children with known diabetes, on long term
medications which cause obesity, syndromic conditions with obesity and
endocrine disorders which cause obesity were excluded from the study. A
detailed history including antenatal history for gestational diabetes
mellitus, birth weight for IUGR, diet history, and personal history was
taken. In these patients demographic measures like age, sex,
anthropometric measurements like weight, height, BMI, waist
circumference, waist hip ratio and blood pressure were recorded. In all
patients, Fasting blood glucose, triglyceride, and HDL-C were done.
Body weight was measured to the nearest 0.1 kg with a balance scale
(Baurer, PS 07), and height was measured to the nearest 0.1 cm with
stadiometer (Hyssna Limfog, AB) with subjects lightly dressed and
without shoes. Body mass index (BMI) was calculated as weight (kg)
divided by height square (m2). Fasting blood glucose and TG
measurements were performed using enzymatic assays (Instrumentation
Lab, MA, USA). HDL-C was measured by a direct enzymatic assay without
precipitation (Instrumentation Lab, MA, USA). Serum TG and HDL-C were
considered high or low when they fell above or below the recommended
values. Data were analyzed using STATA for Windows version 10.1 (Stata
Corp, College Station, TX,USA). The chi square test or the
Fisher’s exact test were done to analyze the data.
Results
Out of 100 children studied, 61% (61cases) were overweight and 39% (39
cases) were obese. Males were 52% (52 cases) and females were 48% (48
cases). 92 cases had normal birth weight, 6 cases were SGA and 2cases
were LGA babies. Consumption of junk food, one of the risk factors for
the weight gain was noted in 95 % of the cases studied in the present
study. All the cases undertaken had 4-6 hours of screen time which
includes television, video games, higher gadgets and mobile phones.
Lack of physical activity was noted in all the cases. (Table 1)
Table 1: Demographic
profile of subjects
|
n=100
|
No
|
Variables
|
|
|
1
|
Gender
|
Male 52(52%)
|
Female 48(48%)
|
2
|
Birth weight
|
AGA 92 (92%)
|
SGA 6 (6%)
|
LGA 2 (2%)
|
3
|
Junk food consumption
|
Yes 100 (100%)
|
---
|
4
|
Screen Time
|
>4 – 6 hrs 100 (100%)
|
---
|
5
|
Physical activity
|
Minimal 100 (100%)
|
---
|
85% had TGL levels less than 150 mg/dl and 15% had high or equal to
150mg/dl. 69% of the cases had HDL-C less than 40mg/dl and 31 % of the
cases had HDL-C more than or equal to 40mg/dl .(Table 2)
Table 2: Lipid profile of
children
Trigylcerides
|
HDL - C
|
<150 mg/dl
|
>150 mg/dl
|
<40 mg/dl
|
>40 mg/dl
|
85 (85 %)
|
15 (15 %)
|
69 (69 %)
|
31 (31 %)
|
Discussion
Childhood obesity appears with a powerful array of cardiovascular risk
factors including combined dyslipidemia, insulin resistance and
hypertension and has been shown to be associated with pathologic
evidence of accelerated atherosclerosis in autopsy studies [3]. The
dyslipidemia pattern associated with childhood obesity consists of a
combination of elevated triglycerides (TG), decreased high density
lipoprotein cholesterol (HDL-C), and top normal to mildly elevated low
density lipoprotein cholesterol (LDL-C). Normal TG levels are
<100 mg/dL in children younger than age 10 years and <130
mg/dL at ages 10–18 years [3]. In the dyslipidemia associated
with obesity, TG levels are usually between 100 and 400 mg/dL. Recent
NHANES data indicate this pattern is highly prevalent, present in 42.9%
of children with BMI>95thcentile [1]. Insulin resistance,
another common feature in obese children and adolescents, contributes
significantly to development of the combined dyslipidemia of obesity by
enhancing hepatic delivery of non-esterified free fatty acids for
triglyceride (TGL) production and sequestration into triglyceride-rich
lipoproteins. High TGL levels are processed into small, dense LDL and
small, less stable HDL; there is both an increase in small, dense LDL
and in overall LDL particle number and a reduction in total HDL-C and
in large HDL particles with analysis by nuclear magnetic resonance
spectroscopy (NMR). The combined dyslipidemia pattern seen with
traditional lipid profile analysis identifies the atherogenic pattern
seen with NMR analysis [4].
The combined dyslipidemia of obesity is particularly atherogenic for
multiple reasons: small dense LDL particles are inefficiently cleared
by LDL receptors, elevated total circulating LDL particles heighten the
risk of entrapment in the sub endothelial matrix, and decreased large
HDL particles limit reverse cholesterol transport. The atherogenicity
of the combined dyslipidemia seen with childhood obesity manifests in
structural and functional vascular changes assessed non-invasively as
increased carotid intima-media thickness (cIMT) and increased arterial
stiffness. In children, a recent report from the longitudinal Young
Finns study revealed that, at 21-year follow-up, subjects with the
combined dyslipidemia pattern beginning in childhood had significantly
increased cIMT compared with normolipidemic controls, even after
adjustment for other risk factors. A paper from the CDC evaluated
multiple CVD risk factors in US children, specifically,
showed that the combined dyslipidemia pattern seen with obesity in
childhood is increasing in prevalence and predicts vascular dysfunction
in young adulthood and early clinical events in adult life [5,6].
The role of TG has been controversial for decades and even if more
recent epidemiologic studies demonstrate that plasma TG levels predict
cardiovascular disease, their role is still questionable [7].
Increasing TG levels cause profound changes in the physicochemical
composition of HDL, VLDL, and LDL particles, and the particle core,
represented by cholesterol esters, is progressively depleted and
replaced by TG. Dyslipidemia in children and adolescents has become a
frequent clinical condition, especially due to the increase in
overweight and obesity prevalence in this age range [8].
Gilles Plourde studied Impact of obesity on glucose and lipid profiles
in adolescents at different age groups in relation to adulthood from
1974 to 2000. This retrospective-prospective longitudinal study
confirmed that adolescents aged between 13 and 15 years old of both
sexes with a BMI ≥ 85th percentile are at increased risk of
becoming overweight or obese adults and presenting abnormal glucose and
lipid profiles as adults. This emphasizes the importance of early
detection and intervention directed at treatment of obesity to avert
the long-term consequences of obesity on the development of
cardiovascular diseases [9]. In another study by Anoop Misra and Naval
K Vikram in 2004, there was high prevalenc of excess body fat, adverse
body fat patterning, hypertriglyceridemia, and insulin resistance
beginning at a young age irrespective of their geographic
locations. These data suggest that primary prevention strategies should
be initiated early in this ethnic group [10].
The 2005,1st Guideline for Atherosclerosis Prevention in Children and
Adolescents recommends that every child over 10 years old assesses
their cholesterol levels [11]. Such recommendations are more important
when children present any of the risk factors such as family history of
early atherosclerosis in parents, siblings or grandparents (before 55
years old in men and before 65 years old in women), if parents have
cholesterol levels > 240 mg/dl; if children have other
associated risk factors, such as hypertension, obesity and saturated
fat or trans fatty acid rich diet, Children with associated
with dyslipidaemia, such as AIDS and hypothyroidism, who use drugs
which may predispose them to dyslipidaemia, e.g., isotretinoin for acne
and children who present clinical manifestations of dyslipidaemia, even
if they are not pathognomonic, such as xanthoma and/or xanthelasma [11].
Treatment depends on the type of dyslipidaemia, i.e., if the cause is
familial, with clinical signals such as xanthomas or if dyslipidaemia
is inserted in the global picture of metabolic syndrome. The lipid
profile is completely diverse: while in familial dyslipidaemia there is
significant hypercholesterolemia with LDL-c levels possibly over 400
mg/dl in dyslipidaemia associated with metabolic syndrome,
there is a higher trend of hypertriglyceridemia, low HDL-c levels, and
LDL-c levels without quantitative but rather qualitative changes, such
as small dense particles which are more atherogenic. Dyslipidaemia at
this age range may have a genetic component with or without the
environmental component, such as improper diet, familial
hypercholesterolemia, familial combined hyperlipidaemia and
hypertriglyceridemia and there may be types of dyslipidaemia which are
predominantly environment-related, but which may also have a genetic
component [12].
A complex dyslipidemia, which is an integral part of the underlying
insulin resistance in Type 2 diabetes mellitus group, is a key to this
increased risk. Increased secretion of VLDL from the liver is a central
feature of dyslipidemia and is linked significantly to the low HDL and
abnormal LDL that are also present. A number of physiologic and
pharmacologic approaches are available and should be used aggressively
to treat diabetic dyslipidemia [13,14]. The prognosis depends on the
type of dyslipidaemia, and it is well established that
hypercholesterolemia, in its homozygotic form, is extremely severe with
a prevalence of 1 in 1 million. Male children usually of 15 years of
age may already present a coronary event or death. For dyslipidaemia
associated with metabolic syndrome, recent data have shown that the
presence of metabolic syndrome during childhood is associated with the
development of coronary disease 25 years later, i.e., in adulthood.
Conclusion
Detection of abnormalities in lipid profile such as high TG and low
HDL-C levels in overweight and obese children can help in preventing
the child from progression to metabolic syndrome. Moreover we should
initiate appropriate non pharmacologic or pharmacologic treatment early
to prevent the complications of abnormal lipids.
Funding:
Nil, Conflict of
interest: Nil
Permission from IRB:
Yes
References
1. Alberti KG, Eckel RH, Grundy SM, et al.Harmonizing the metabolic
syndrome: a joint interim statement of the International Diabetes
Federation Task Force on Epidemiology and Prevention; National Heart,
Lung, and Blood Institute; American Heart Association; World Heart
Federation; International Atherosclerosis Society; and International
Association for the Study of Obesity.Circulation. 2009 Oct
20;120(16):1640-5. doi: 10.1161/Circulation AHA.109.192644. Epub 2009
Oct 5.
2. S. Goenka, D. Prabhakaran, V. S. Ajay, and K. S. Reddy,
“Preventing cardiovascular disease in India-Translating
evidence to action,” Current Science.
2009;97(3):367–377. [PubMed]
3. Stephen Cook, Rae Ellen W. Kavey,
Dyslipidemia and Pediatric Obesity.Pediatr Clin North Am. 2011 Dec;
58(6): 1363–1373. doi:
10.1016/j.pcl.2011.09.003. [PubMed]
4. Laakso M, Sarlund H, Mykkänen L. Insulin resistance is
associated with lipid and lipoprotein abnormalities in subjects with
varying degrees of glucose tolerance.Arteriosclerosis. 1990 Mar-Apr;
10(2):223-31.
5.Justin P. Zachariah. Improving Blood Pressure in Children Is
Protective Over the Long Term. Circulation. 2013;128:198-9. DOI:
10.1161/Circulation AHA.113.003954. [PubMed]
6. N. Mattsson, T. Rönnemaa, M. Juonala,J. S. A. Viikari and
O. T. Raitakari.The prevalence of the metabolic syndrome in young
adults. The Cardiovascular Risk in Young Finns Study.Journal of
Internal Medicine.2007;261,: 159–69.doi:
10.1111/j.1365-2796.2006.01752.x [PubMed]
7. Adeli K., Taghibiglou C., van Iderstine S. C., Lewis G. F.
Mechanisms of hepatic very low-density lipoprotein overproduction in
insulin resistance. Trends in Cardiovascular Medicine.
2001;11(5):170–176. doi: 10.1016/s1050-1738(01)00084-6. [PubMed]
8. Rio-Navarro BE, Velazquez-Monroy O, Sanchez-Castillo CP, et al. The
high prevalence of overweight and obesity in Mexican children.Obes Res.
2004;12:215-23. [PubMed]
9. Gilles Plourde.Impact of obesity on glucose and lipid profiles in
adolescents at different age groups in relation to adulthood.BMC
FamPract.2002; 3: 18.doi: 10.1186/1471-2296-3-18. [PubMed]
10. Anoop Misra,Naval K VikramInsulin resistance syndrome (metabolic
syndrome) and obesity in Asian Indians: evidence and
implications.2004;20(5):482–91 .DOI:
http://dx.doi.org/10.1016/j.nut.2004.01.020. [PubMed]
11. Back GI, Caramelli B, Pellanda L, Duncan B, Mattos S, Fonseca FH. I
Guidelines of Prevention of Atherosclerosis in Childhood and
Adolescence. Arq Bras Cardiol. 2005;85(Suppl 6):4–36. [PubMed]
12. Alfredo Halpern, Marcio C Mancini, Maria Eliane C
Magalhães,et al.Metabolic syndrome, dyslipidemia,
hypertension and type 2 diabetes in youth: from diagnosis to
treatment.Diabetol Metab Syndr. 2010; 2: 55.
13. Chahil TJ, Ginsberg HN.Diabetic dyslipidemia.EndocrinolMetabClin
North Am. 2006;35(3):491-510, vii-viii. [PubMed]
14. Ginsberg, H. N., Zhang, Y.-L. and Hernandez-Ono, A. (2006),
Metabolic Syndrome: Focus on Dyslipidemia. Obesity, 14:
41S–49S. doi: 10.1038/oby.2006.281. [PubMed]
How to cite this article?
Minakshi B, Chithambaram N S. Abnormalities of lipid profile in
overweight and obese Indian children. Int J Pediatr
Res.2016;3(8):584-588.doi:10.17511/ijpr.2016.8.06.