Prevalence of overweight and obesity among school-going children of Satara district, Maharashtra.
The term obesity is derived from Latin word "obesus" that means pump or having eaten oneself fat. Moreover, obesity is a product of imbalance or difference between energy intake and energy spent. Nowadays, adolescent or childhood obesity is a matter of growing concern across the whole world. WHO has designated obesity as global epidemic. Worldwide, obesity has been more than doubled since 1980 as per recent data. In the year 2014, it has been reported that more than 1.9 billion adults, 18 years and above, were overweight. Of these, over 600 million were obese which means that overall 39% of adults worldwide are either overweight or obese. About 41 million children <5 years old were found overweight or obese in the year 2014. [1-3]
Overweight and obesity rates have been increased and reached epidemic proportion in developed counties, and they are rapidly increasing in developing countries. [4,5] Obesity considered as the first wave of a defined cluster of non-communicable diseases called as a "New world syndrome" creating a huge burden on socioeconomic and public health, especially in poorer countries. 
Over the past two decades, proportion of children among general population who are overweight and obese has doubled in developed as well as in developing counties including India, [7,8] and parallelly, there is a increasing prevalence of diabetes. [9,10] A developing country like in India, there was more migration of people from rural to urban areas due to industrialization, and more job opportunities lead to rapid change in food habits and lifestyle. India has facing dual burden, on the one hand, increasing the popularity as a fast weight gaining nation and, on the other hand, struggling with malnutrition. [11,12] As a result of this, childhood obesity has been attributed to recent emerging socioeconomic trends in India. There are many long-term consequences as childhood obesity tends to persist in adulthood along with its health risks. Obesity is more likely to persist in later days of life if it starts in childhood. 
Causation of childhood obesity is multifactorial. There has been a complex interaction between various factors such as genetic, psychological, environmental, sociocultural, neuroendocrine, and metabolic in etiopathogenesis of childhood obesity. [14,15]
There are various physical, psychological, and socioeconomic adverse effects of obesity. Childhood obesity has a negative impact on cognitive and social development and it badly affects self-esteem.
Chronic and morbid conditions such as type 2 diabetes mellitus, hypertension, hypercholesterolemia, and atherosclerosis which were primarily seen in adults and the elderly are becoming more common in children as consequences of increasing prevalence of childhood obesity. There have been various difficulties in treating obesity in adulthood added to that many long-term adverse effects of childhood obesity, so its prevention has now become public health priority. Recognition of childhood overweight and obesity during school days helps in preventing as well as effective controlling of disease progression into adulthood.  Keeping this in mind, the present study was conducted in school children of Satara district with the objective of finding out prevalence of overweight and obesity and its associated factors.
MATERIALS AND METHODS
The present study was community-based cross-sectional study. The study was conducted between January 1 and March 31, 2014, in four schools of Satara district, Maharashtra. List of all government and private schools in Satara district was obtained, and four schools (two government and two private schools to represent equally various types of socioeconomic strata of society) were selected by simple random sampling. Nature and purpose of the study were explained to the principal/headmaster of selected schools, and after obtaining their permission, data collection was started. Nearly 30 students from each 8th, 9th, and 10th class were selected by purposive sampling after obtaining their parents informed verbal consent. Thus, a total of 90 students from each school were enrolled in the study, so final sample size was 360. Approval from the Institutional Ethical Committee of College, Institute of Medical Sciences and Research, Mayani, was obtained before the start of the study.
A pilot study was undertaken before starting for data collection to validate and make necessary modification in questionnaire. The pre-designed and pre-tested questionnaire contains information about various sociodemographic characters including parents working status, family history of overweight and obesity, and anthropometric measurements.
Students of 8th, 9th, and 10th class and those who were willing to participate in the study were included.
Students who were not willing to participate in the study, those who were absent during school visits, and those who had chronic diseases, endocrinal problems, and physical and mental defects were excluded from the study.
Height was measured in centimeters using stadiometer and weight was measured in kilograms on standardized weighing machine. Both weight and height were measured with only school uniforms and without wearing shoes. Body mass index (BMI) was calculated using formula weight in kilograms divided by height in square meters. To find prevalence, age-specific cutoff values of BMI for overweight and obesity separate for boys and girls were used [Table 1]. 
Percentages and Chi-square test were applied wherever necessary and P < 0.05 was considered as statistically significant with confidence interval of 95%. Calculations are performed using SPSS version 21.
Majority 35% of the study participants were 15 years old followed by 14 years (30.83%). About 76.39% of school students belong to Hindu religion. 66.94% of study participants reside in nuclear family, while 33.06% live in joint family. 52.5% of study participants were from government school and 47.5% were from private school. Among the study participants, 120 (33.33%) were studied in each class of 8th, 9th, and 10th [Table 2].
Among 360 study participants, the prevalence of overweight was 9.16% and obesity was 2.5%. Of 185 boys and 175 girls, prevalence of overweight and obesity was 12.97% in boys compared to 9.14% in girls. However, this difference was not found to be statistically significant with P = 0.24. 14.04% of school students from private school was found overweight or obese compared to only 6.88% of students from government school, and this difference was found to be statistically significant with P < 0.02[Table 3].
More number of study participants 29.79% was found overweight or obese with those having a family history of overweight and obesity compared to only 7.63% with those having no family history of overweight and obesity, and this difference was found highly statistically significant with P < 0.0001. Prevalence of overweight and obesity was found higher 25.38% in study participants who had working mother compared to only 10% in those who had not working mother, and this difference was found highly statistically significant with P < 0.0001. Prevalence of overweight and obesity was found higher 32.29% in study participants with <7 h of sleeping duration compared to only 10.98% in those who had sleeping duration of >7 h, and this difference was also found highly statistically significant with P <0.0001[Table 4].
Prevalence of overweight and obesity was found more in boys compared to girls in the present study. Private school-going children found more overweight and obese compared to children going to government schools. Parameters such as family history of obesity, working mother, and less duration of sleeping have an direct relationship with childhood obesity. In the present study, 24 (12.97%) boys and 16 (9.14%) girls found overweight or obese. A study conducted by Meharda et al.  showed that 43 (8.60%) boys and 63 (12.60%) girls were overweight or obese. These study findings show higher prevalence than our study and this may be due to geographic and sociocultural variations. Harish et al.,  in their study, reported that a prevalence of obesity in boys was 125 (6.03%), and in girls, it was 229 (8.85%). Prevalence of overweight and obesity was found 7.65% in boys and 12.45% in girls in a study conducted by Prashanth et al.  A study conducted by Goyal et al.  showed that prevalence of overweight and obesity was 17.2% in boys and 10.8% in girls. The overall prevalence of overweight and obesity was 200 (15.61%) as shown by a study conducted by Ghonge et al.  The present study shows that the prevalence of overweight and obesity was significantly higher 24 (14.04%) in children going in private school compared to those who went to government school 13 (6.88%). A study conducted by Meharda et al.  showed that prevalence of overweight and obesity was significantly higher 270 (14.00%) in children going in private school compared to those who went to government school 36 (7.20%). Ghonge et al.,  in their study, reported that the number of children with overweight and obesity was significantly higher in 51 (8.83%) children going in private school compared to those who went to government school 21 (2.98%). A study conducted by Prasad et al.  also showed significantly more prevalence of overweight and obesity in children going in private school 154 (18.7%) compared to those who went to government sch ool 78 (7.4%). These three study findings were similar to the present study. In the present study, it was found that more number of children was overweight and obese with positive family history of overweight and obesity compared to number of overweight and obese children with negative family history of overweight and obesity, and this difference was found highly statistically significant. Prevalence of overweight and obesity was found more in study participants with working mother compared to those overweight and obese children whose mothers were not working. This association was also found statistically significant. Overweight and obesity were found more in children who were taking <7 h of sleep compared to those who were taking more than 7 h of sleep. This association was also found statistically significant. Similar association with respect to family history, working status of mother, and duration of sleeping was found in a study conducted by Meharda et al., 
Strength of the Study
Prevalence of overweight and obesity was found more in private school-going children compared to government school-going children. Findings of the study revealed that overweight and obesity are genetically inherited from parents to their child and less sleep duration also has a positive impact on getting child obese. Identification of obesity in early age helps us to do intervention such as lifestyle modifications easily and prevent complications of obesity in near future.
Limitation of the Study
To validate results more precisely, more number of children should involve from both government and private schools. Other methods of assessing overweight and obesity such as waist-hip circumference and skinfold thickness were not used in the present study
Findings of the present study showed that boys have more prevalence of overweight and obesity compared to girls. Private school-going children found more overweight and obese compared to government school-going children. A family history of obesity, working status of mother, and less duration of sleeping have a direct relationship on childhood obesity.
[1.] Prashanth SV, Latha GS, Babu DV, Gururaj S. Obesity: Changing outlook of Indian adolescent children: Emerging and worrying trend. Int J Contemp Pediatr 2017;4:706-12.
[2.] World Health Organization. Facts and Figures on Childhood Obesity. Australia: World Health Organization; 2014.
[3.] Bhave S, Bavdekar A, Otiv M, IAP National Task Force for Childhood Prevention of Adult Diseases: Childhood Obesity. IAP national task force for childhood prevention of adult diseases: Childhood obesity. Indian Pediatr 2004;41:559-75.
[4.] Goyal RK, Shah VN, Saboo BD, Phatak SR, Shah NN, Gohel MC, et al. Prevalence of overweight and obesity in Indian adolescent school going children: Its relationship with socioeconomic status and associated lifestyle factors. J Assoc Physicians India 2010;58:151-8.
[5.] Chopra M, Galbraith S, Darnton-Hill I. A global response to a global problem: The epidemic of overnutrition. Bull World Health Organ 2002;80:952-8.
[6.] Nagaraj S, Bettapa P, Prakash B, Kaverappa V, Rani U, Ashok NC. Prevalence and determinants of overweight and obesity among school-going adolescents in Mysuru district, Southern India. Int J Med Sci Public Health 2015;4:1182-6.
[7.] Bundred P, Kitchiner D, Buchan I. Prevalence of overweight and obese children between 1989 and 1998 population based series of cross sectional studies. Br Med J 2001;322:326-8.
[8.] Ogden CL, Flegal KM, Carroll MD, Johnson CL. Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA 2002;288:1728-32.
[9.] King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025: Prevalence, numerical estimates, and projections. Diabetes Care 1998;21:1414-31.
[10.] Ramachandran A, Snehalatha C, Latha E, Vijay V, Viswanathan M. Rising prevalence of NIDDM in an urban population in India. Diabetologia 1997;40:232-7.
[11.] Pathak S, Modi P, Labana U, Khimyani P, Joshi A, Jadeja R, et al. Prevalence of obesity among urban and rural school going adolescents of Vadodara, India: A comparative study. Int J Contemp Pediatr 2018;5:1355-9.
[12.] Chatterjee P. India sees parallel rise in malnu trition and obesity. Lancet 2002;360:1948.
[13.] Wright CM, Parker L, Lamont D, Craft AW. Implications of childhood obesity for adult health: Findings from thousand Families cohort study. BMJ 2001;323:1280-4.
[14.] Ghonge S, Adhav PS, Landge J, Thakor N. Prevalence of obesity and overweight among school children of Pune city, Maharashtra, India: A cross sectional study. Int J Res Med Sci 2015;3:3599-603.
[15.] Raj M, Kumar K. Obesity in children and adolescents. Rev Artic Ind J Med Res 2010;132:598-607.
[16.] Shanmugam K, Ravishankar SL, Kannappan S, Chacko TV. Prevalence of overweight and obesity among children aged 5-15 years in a rural school in Coimbatore. Int J Med Sci Public Health 2016;5:2186-9.
[17.] Khadilkar VV, Khadilkar AV, Borade AB, Chiplonkar SA. Body mass index cut-offs for screening for childhood overweight and obesity in Indian children. Indian Pediatr 2012;49:29-34.
[18.] Meharda B, Sharma SK, Singhal G, Kumar LD. Overweight and obesity: A rising problem in India. Int J Commun Med Public Health 2017;4:4548-52.
[19.] Harish BR, Asha B, Mahendra B. A study of prevalence of obesity among high school children of Mandya city using waist circumference. Int J Sci Stud 2014;2:107-10.
[20.] Prasad RV, Bazroy J, Singh Z. Prevalence of overweight and obesity among adolescent students in Pondicherry, South India. Int J Nutr Pharm Neuro Dis 2016;6:72-5.
Sheetal Kuldeep Dabade (1), Kuldeep Jagananath Dabade (2)
(1) Department of Physiology, Gulbarga Institute of Medical Sciences, Kalaburagi, Karnataka, India, (2) Department of Community Medicine, Gulbarga Institute of Medical Sciences, Kalaburagi, Karnataka, India
Correspondence to: Kuldeep Jagannath Dabade, E-mail: email@example.com
Received: December 07, 2018; Accepted: January 01, 2019
Source of Support: Nil, Conflict of Interest: None declared.
Table 1: Age-specific cutoff values for risk of overweight and obesity corresponding to adult equivalent BMI of 23 and 28 kg/[m.sup.2] at the age of 18 years for Indian boys and girls Age in years Adult equivalent BMI 23 kg/[m.sup.2] BMI 28 kg/[m.sup.2] Boys Girls Boys Girls 12 19.3 19.4 23.3 23.3 13 20 20.2 24.3 24.3 14 20.7 20.9 25.1 25.2 15 21.3 21.5 25.9 26 [greater than or equal to]16 21.9 22 26.7 26.7 BMI: Body mass index Table 2: Distribution of study participants according to sociodemographic characteristics Variable Boys Girls Total n=185 (%) n=175 (%) n=360 (%) Age (years) 12 3 (1.62) 2 (1.14) 5 (1.39) 13 21 (11.35) 19 (10.86) 40 (11.11) 14 57 (30.81) 54 (30.86) 111 (30.83) 15 64 (34.59) 62 (35.43) 126 (35.00) [greater than or equal to]16 40 (21.62) 38 (21.71) 78 (21.67) Religion Hindu 143 (77.30) 132 (75.43) 275 (76.39) Muslim 31 (16.76) 29 (16.57) 60 (16.67) Christian and others 11 (5.94) 14 (8.00) 25 (6.94) Type of family Nuclear 127 (68.65) 114 (65.14) 241 (66.94) Joint 58 (31.35) 61 (34.86) 119 (33.06) Type of school Government 98 (52.97) 91 (52.00) 189 (52.50) Private 87 (47.03) 84 (48.00) 171 (47.50) Class studying 8th 62 (33.51) 58 (33.14) 120 (33.33) 9th 61 (32.97) 59 (33.71) 120 (33.33) 10th 62 (33.51) 58 (33.14) 120 (33.33) Table 3: Prevalence of overweight and obesity in relation with gender and type of school Normal (no Overweight Total P value overweight and obese and obese) Prevalence in relation with gender Boys 161 (87.03) 24 (12.97) 185 (100) [chi square]=1.33 Girls 159 (90.86) 16 (9.14) 175 (100) df=1 P=0.24 Prevalence in relation with the type of school Government 176 (93.12) 13 (6.88) 189 (100) [chi square]=4.98 Private 147 (85.96) 24 (14.04) 171 (100) df=1 P<0.02 Figures in parenthesis indicates percentage Table 4: Factors associated with overweight and obesity Normal (no Overweight Total P value overweight and obese and obese) Association with family history of overweight and obesity Positive 69 (70.41) 29 (29.59) 98 (100) [chi square]=29.25 family df=1 P<0.0001 history Negative 242 (92.37) 20 (7.63) 262 (100) family history Association with working status of mother Working 97 (74.62) 33 (25.38) 130 (100) [chi square]=14.97 Not working 207 (90.00) 23 (10.00) 230 (100) df=1 P<0.0001 Association with duration of sleeping in h <7 h 65 (67.71) 31 (32.29) 96 (100) [chi square]=23.01 >>7 h 235 (89.02) 29 (10.98) 264 (100) df=1 P<0.0001 Figures in parenthesis indicates percentage
|Printer friendly Cite/link Email Feedback|
|Title Annotation:||RESEARCH ARTICLE|
|Author:||Dabade, Sheetal Kuldeep; Dabade, Kuldeep Jagananath|
|Publication:||National Journal of Physiology, Pharmacy and Pharmacology|
|Article Type:||Clinical report|
|Date:||Mar 1, 2019|
|Previous Article:||Inborn error of metabolism screening in neonates.|
|Next Article:||Evaluation of skeletal muscle relaxant activity of methanolic extract of Hibiscus rosa sinensis leaves in albino rats.|