|Year : 2011 | Volume
| Issue : 1 | Page : 45-50
Study of childhood obesity among school children aged 6 to 12 years in union territory of Puducherry
Preetam B Mahajan1, Anil J Purty2, Zile Singh2, Johnson Cherian2, Murugan Natesan2, Sandeep Arepally2, V Senthilvel2
1 Department of Community Medicine, Indira Gandhi Medical College and Research Institute, Pondicherry, India
2 Pondicherry Institute of Medical Sciences (PIMS), Pondicherry, India
|Date of Web Publication||12-May-2011|
Preetam B Mahajan
Cosy Apartments, Block no 4, 1st floor, Baina, Vasco- Da- Gama, Goa- 403 802
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Objective: To study the prevalence of obesity and overweight among school children in Puducherry. To identify any variation as per age, gender, place of residence and type of school. Setting and design: Secondary data analysis of a school-based cross sectional study in all the four regions of Puducherry. Materials and Methods: Children between 6 and 12 yrs were sampled using multistage random sampling with population proportionate to size from 30 clusters. Anthropometric data (BMI) was analyzed using CDC growth charts. Data was analyzed using SPSS, BMI (CDC) calculator, CI calculator and OR calculator. Results: The prevalence of overweight (85 th percentile) among children was 4.41% and prevalence of obesity (>95 th percentile) was 2.12%. Mahe region had the highest prevalence of overweight (8.66%) and obesity (4.69%). Female children from private schools and urban areas were at greater risk of being overweight and obese. Conclusions: Childhood obesity is a problem in Puducherry and requires timely intervention for its control.
Keywords: Childhood obesity, overweight, Puducherry, school children
|How to cite this article:|
Mahajan PB, Purty AJ, Singh Z, Cherian J, Natesan M, Arepally S, Senthilvel V. Study of childhood obesity among school children aged 6 to 12 years in union territory of Puducherry. Indian J Community Med 2011;36:45-50
|How to cite this URL:|
Mahajan PB, Purty AJ, Singh Z, Cherian J, Natesan M, Arepally S, Senthilvel V. Study of childhood obesity among school children aged 6 to 12 years in union territory of Puducherry. Indian J Community Med [serial online] 2011 [cited 2020 Nov 28];36:45-50. Available from: https://www.ijcm.org.in/text.asp?2011/36/1/45/80793
| Introduction|| |
Many countries in South-East Asia including India are going through an economic and nutrition transition.  The nutrition transition is associated with a change in dietary habits, decreasing physical activity and rising prevalence of obesity.  Overweight and obesity are major risk factors for a number of chronic diseases, including diabetes, cardiovascular diseases and cancer. Obesity in children and adolescents is gradually becoming a major public health problem in many developing countries, including India.  'One-half of obese school children become obese adults. However, whether or not obesity persists into adulthood, obesity in childhood appears to increase the risk of subsequent morbidity'. ,, Significance of estimating prevalence of childhood obesity thus cannot be overemphasized.
There are a few studies, reporting, prevalence of childhood and adolescent obesity and overweight from different parts of India (Punjab, Maharashtra, Delhi and South India) that range from 3% to 29%, and also indicate that the prevalence is higher in urban than in rural areas.  However, there is no published data on a representative sample from Puducherry on prevalence of childhood obesity. With recent rise in number of diabetics (5.04%)  and hypertensives in the Union Territory of Puducherry, it was necessary to have the accurate data on prevalence of childhood obesity and therefore an attempt was made to assess the prevalence of overweight and obesity among school children aged between 6 and 12 yrs. It was also decided to study any differences in prevalence based on age group, gender, place of residence (regions or urban/ rural) and place of study (Government / private school).
| Materials and Methods|| |
This study incorporates secondary analysis of anthropometric measurements of school children aged between 6 and 12 years obtained while carrying out a survey among them for prevalence of iodine deficiency disorders (IDDs) sponsored by Directorate of Health Services, Puducherry. The details of the materials and methods are as follows. (Although the primary study outcome was to study the burden of IDD among school children, the investigators performed a complete school health check-up as part of their study protocol).(The IDD study was not published at the time of submission of present study)
The Union Territory of Puducherry encompasses an area of 480 sq km with 4 districts/regions namely, Puducherry (Pondicherry) and Karaikal (within the state of Tamil Nadu), Mahe (within the state of Kerala) and Yanam (within the state of Andhra Pradesh).
The population of Union Territory of Puducherry in 2001  was 9,73,829 of which 4,86,705 were Males. Puducherry district had highest population of 735,004 followed by Karaikal (170,640), Mahe (36,823) and Yanam (31,362). 66.57% of total population is urban. Mahe and Yanam districts are purely urban. 
The Union Territory has 263 villages/wards.  There are 379 (63.38%) Government and 219 (36.62%) private schools (primary, middle and secondary) having 1,50,747 students studying from 1 st to 7 th standard majority being in the age group of 6-12 yrs as per census data of 2005 -2006. 
Study population and study area
A total of 12,685 children in the age group of 6-12 years, studying in class I-VII, from government and private schools of urban as well as rural areas in each of the four districts were enlisted initially, from which the study sample was selected as mentioned below.
Secondary data analysis of a cross-sectional study was done.
Period of study
November 2008-March 2009.
The sample size studied in IDD study was 2940 based on revised guidelines. , The study sample had sufficient power to estimate the prevalence of childhood obesity at 95% confidence interval (CI), with expected frequency of childhood obesity being 7.3% and worst acceptable result of 8.4% (expected frequency figures based on a dissertation study carried out in the department).
Selection of study sample [Figure 1]
Sampling method: Multistage sampling with population proportionate to size (PPS) was used.
|Figure 1: Flow chart for sample covered in union territory of Puducherry|
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Stage 1: Methodology for selection of survey sites by PPS sampling
Sampling frame comprised of cumulative population of each village/ward (cluster) of four districts. A total of 30 units (21 in Puducherry, 4 in Karaikal, 3 in Mahe and 2 in Yanam) were selected by systematic sampling using PPS.
Stage 2: Selection of school from each cluster
A ward/village-wise list of all schools (Primary, middle and secondary schools) showing total number of children was prepared and one school from each cluster was selected randomly.
Stage 3: Selection of school children from each school
Ninety-eight children (49 boys and 49 girls) aged 6-12 years studying in Classes I to VII were selected from each school, from the attendance register by systematic random sampling technique with equal representation in each age/gender category. Written consent for carrying out IDD study and general check up was obtained from the parents of the selected students 1 day prior to the survey with the help of Principal/Teachers of the school.
All children found to be < 6, > 12 yrs of age, children whose exact birth date was not available, children without written informed consent and those with Ht/Wt error during data management were excluded from the data analysis.
Instrument and techniques
A predesigned and pretested interviewer administered questionnaire was used to collect information. A weighing (bathroom) scale and stadiometer were used to measure the weight (nearest 0.5 kg) and height (nearest 0.1 cm) of each child using standard procedure.  BMI was calculated as weight (kg)/height 2 (m 2 ). Sex- and age-specific percentile cut-points of a reference population (85th percentile for overweight and 95th percentile for obesity) were used.  The date of birth of each child was taken from the school records. Data was collected by a team of two interns (male/female) adequately trained and under the supervision of one faculty/junior resident.
Definition of overweight and obesity
Children were categorized into three groups: obese (>95 th percentile), overweight (≥85th percentile) and normal (<85th percentile,> 5 th percentile) using age- and sex-specific percentiles of BMI. 
Data were analyzed using Statistical package for the Social Sciences (version 16.0). The prevalence of overweight and obesity were calculated using BMI for age/gender percentiles derived through child and teen BMI calculator developed by CDC Atlanta.  Odds ratio (OR) and CI calculator was used to calculate OR and 95% CI. , For all statistical tests, P < 0.05 was taken as the significance level.
The study had ethical clearance. Written informed consent was also obtained. A prior permission by Director of health and family welfare as well as Director of education, Government of Puducherry was accorded to conduct the primary survey and the same was also intimated to all the school Principals. Permission was also obtained from Director of Health and Family welfare regarding reporting the findings of secondary data analysis.
The IDD study was sponsored by Department of Health, Government of Puducherry under the National Iodine Deficiency Disorders Control Programme (NIDDCP) and supported by Department of Education, Puducherry.
| Results|| |
Initially 2940 school children were selected from 30 schools [16 (53.33%) Government schools] in all the four districts of Puducherry. Subsequently, after applying the exclusion criteria, sample size reduced to 2542 children consisting of 1345 (52.11%) male children. 80.28 % were from urban areas. Overall boys and girls were equally distributed in each age and gender (male: female ratio of 1.09:1) group. However, age group 12 had less children because 108 children had to be excluded from data analysis as they were >12-years-old [Figure 1].
[Table 1] shows the prevalence of overweight and obesity by age among school children in Puducherry. Prevalence of overweight and obesity was highest (7.89% and 3.8%, respectively) in age group 11. Using χ2 for linear trend, Prevalence of overweight in age group 9 was 2.81 times more whereas in the age group 11 was 4.41 times more as compared to that among children belonging to age group 6. Similar inference could not be drawn for obese children as the distribution of obesity in various age groups was not found to be statistically significant (P= 0.5272).
|Table 1: Prevalence of overweight and obesity by age among school children in Puducherry|
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[Table 2] shows overall prevalence of overweight and obesity by gender and regions among schoolchildren in Puducherry. The overall prevalence of overweight (≥85 th percentile) among children was 4.41% (95% CI: 3.67, 5.27) and prevalence of obesity (>95 th percentile) was 2.12% (95% CI: 1.63, 2.76). Prevalence of overweight and obesity was 4.24% (95% CI: 3.28, 5.47)  and 1.97 % (95% CI: 1.35, 2.87),  respectively, among males whereas prevalence of overweight and obesity among females was 4.58 % (95% CI: 3.55, 5.90)  and 2.29 % (95% CI: 1.59, 3.29)  respectively. Among all the four regions, Mahe had the highest prevalence of overweight (8.66%) and obesity (4.69%).
|Table 2: Prevalence of overweight and obesity by gender and region among school children in Puducherry|
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[Table 3] shows the estimated number of overweight and obese children between 7 and 12 yrs of age in Puducherry based on 2001 census data for the state. As we could not ascertain the number of children aged 6 yrs separately we therefore excluded this group while estimating the true prevalence of Union Territory of Puducherry. In a population of 1,08,842, between 7 and 12 yrs there are 5424 overweight and 2435 obese children using the prevalence estimate of 4.41% and 2.12%, respectively. The largest numbers of overweight (1352) and obese (651) children belong to age group 11 yrs. The estimated true prevalence of overweight among children (7-12 yrs) was 4.98% and that of obesity was 2.24%.
|Table 3: Estimated number of overweight and obese children based on census data, 2001, by age-specific prevalence rates of study population|
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| Discussion|| |
It is emerging convincingly that the genesis of Type 2 Diabetes and Coronary Heart Disease begins in childhood, with childhood obesity serving as an important factor.  There has been a phenomenal rise in proportions of children having obesity in the last 4 decades especially in the developed world. Studies emerging from different parts of India ,,,,, within last decade are also indicative of similar trend.
In the present study the true prevalence of overweight and obesity was 4.98% and 2.24% respectively. Mahe region surrounded by Kerala reported the highest prevalence of overweight [8.66%] and obesity [4.69%]. A similar finding was reported from another study in Kerala  that showed an increased prevalence of overweight and obesity from 4.94% and 1.26% in 2003 to 6.57% and 1.89% in 2005 with particular rise in the age group 5-11 yrs. Yanam surrounded by Andhra Pradesh had 2 nd highest prevalence of overweight [5.68%], and lowest prevalence of obesity [0.57%]. A similar study among adolescents in Hyderabad  reported prevalence of overweight of 7.2% (95% CI: 5.7, 8.7). In Puducherry and Karaikal regions surrounded by TamilNadu, the prevalence of overweight and obesity ranged from 2.87% to 3.91% and 1.78% to 2.59%, respectively [Table 2]. A study carried out in urban school of Chennai,  Tamil Nadu, reported a high prevalence of overweight (8.0-10.81%) and obesity (5.26-9.52%). By and large each region from the Union Territory of Puducherry showed trends similar to the respective surrounding states indicating a strong influence of local environmental and sociocultural factors on the pattern of overweight and obesity found in these children.
Our study showed higher prevalence of overweight and obesity among females in all the regions of Puducherry except Mahe where reverse trend was seen. These findings were in concordance to that reported from other studies within the respective states that surrounded each of these four regions. ,, Females are more likely to be obese as compared to males, owing to inherent hormonal differences. 
Prevalence of overweight and obesity was 5.07% (95% CI: 4.20-6.11)  and 2.61 %(95% CI: 2.00-3.40),  respectively, among children residing in urban areas, higher than those in rural areas with reported prevalence for overweight and obesity of 1.76 % (95% CI: 0.93-3.32)  and 0.2 % (95% CI: 0.03 to 1.10),  respectively. Children from urban areas were 3.04 times (95% CI: 1.52-6.09)  and 14.10 times (95% CI: 1.94-102.38)  at greater risk of being overweight and obese compared to children in rural areas. Similar trend was observed in other studies. ,
It was observed that prevalence of overweight and obesity was 2.84% (95% CI: 2.09-3.86)  and 1.82 %(95% CI: 1.24-2.68),  respectively, among children studying in Government schools, whereas it was found to be higher among children studying in private schools, being 6.23% (95% CI: 4.99-7.77)  and 2.48 % (95% CI: 1.73-3.53),  respectively. Children from private schools were 1.71 times (95% CI: 1.14-2.56)  and 1.06 times (95% CI: 0.61-1.83)  at greater risk of being overweight and obese, respectively, compared to children in Government schools. Similar trend was also observed in other studies. , These findings suggest that children belonging to relatively higher socioeconomic strata who are likely to study in private schools and reside in urban areas , are at higher risk of obesity, most likely due to associated lifestyle changes leading to inappropriate diet and increasing levels of physical inactivity.
Thus area of residence, socioeconomic conditions and age/gender differences were felt to be important contributors towards overweight and obesity in our study population. Our study had some limitations like nonschool going children were not studied and only one school was selected per cluster. Besides, risk factors for childhood obesity could not be directly studied as this information was not specifically sought for in the original study. However, strength of our study remains in the fact that it provides an overview of burden of childhood obesity among representative sample of children between 6 and 12 yrs for the first time and can prove to be a benchmark for future comparisons by the public health personnel and decision makers. It also indicates the need to devise meaningful control measures, both home and school-based pending, further research on risk factors for childhood obesity and also to monitor the trend in near future considering the alarming rise in the number of diabetics and hypertensive within the state in recent past.
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[Table 1], [Table 2], [Table 3]
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