INTRODUCTION

Obesity is one of the major global problems affecting children and adolescents. During adolescence, teenagers start to make individual choices and develop a personalized lifestyle. Many of these lifestyle choices are related to risk factors for obesity, such as unhealthy diet patterns, increased TV watching, and lack of physical activity, all of which are largely modifiable.

In India, although under-nutrition and micronutrient deficiencies continue to be major public health problems, over-nutrition and obesity are also emerging as a major problem in many states [1,2]. The quality of life in the urban population has changed to a great extent during the last decade, resulting in a substantial increase in childhood as well as adult obesity in the urban population.

It has been observed that 30% of cases of obesity begin in childhood, and among them, 50% to 80% become obese adults. In a Harvard study, morbidity from cardiovascular disease, diabetes, obesity-related cancers, and arthritis was 50% to 100% higher in obese individuals who were also obese as children [3]. Obesity is associated with other co-morbidities such as dyslipidaemia [4], hypertension [5], the metabolic syndrome [6], and polycystic ovarian disease [7].

Dietary patterns that include a higher intake of fruits and vegetables, which are good sources of complex carbohydrates, vitamins, and minerals, are associated with a decreased risk for obesity [8]. Children and adolescents tend to consume low quantities of fruits and vegetables and to have a high intake of fast foods and carbonated drinks [9,10]. The frequency of watching TV and computer use is high among adolescents and they have replaced outdoor games and other social activities in this age group. Previous intervention studies in school-aged children have supported television and video viewing as causes of childhood obesity [11,12]. Adequate physical activity during childhood and adolescence helps to build and maintain healthy bones and muscles and control weight.

Modifying behaviours at a young age is much easier than at later ages. Comprehensive school-based health education programmes would be the cost effective approach to favourably modifying obesity risk factors. The Global School-based Student Health Survey (GSHS) designed by the World Health Organization (WHO) and modified for India [13] is a low-cost school-based survey that assesses the behavioural risk factors related to obesity and other non-communicable diseases among young people aged 13 to 15 years. So far, only one study [14] in India using the GSHS questionnaire, which was carried out in New Delhi, has been published, but the drawback of the study was that the sample was not randomly selected, and therefore, it would not be appropriate to generalize the study results to all school children of India. The limitations of other similar studies in India were coverage of only a single school and non-random selection of the study population. Hence, the present study was undertaken to address the prevalence of behavioural risk factors for obesity among randomly selected urban adolescent students from both private and government schools in Chennai, Tamil Nadu.

METHODS

This was a cross-sectional study conducted among students in standards VIII-XII in 2009 in Chennai, Tamil Nadu, India. Out of 658 secondary and higher secondary schools in Chennai city, as listed on the Tamil Nadu government website [15], 60 schools were selected randomly and approached for permission. The schools which gave permission were included in the study (n=30). Among them were 17 private and 13 public schools.

The sample size was calculated based on the study [14] done in New Delhi, which showed the prevalence of overweight or obesity to be 17.65%. With the allowable error as 10% of prevalence, the sample size required was 1724. Expecting a 10% refusal to participate in the study, we arrived at a sample size of 1896. Thus the number of students selected from the 30 schools was 1896, and the number from each school was 64.

A sampling frame was prepared by enlisting the students names using attendance registers of all the sections in the VIII-XII standard classes, and from them, 64 students were selected by a simple random sampling technique. The randomly selected students were asked to assemble in a separate room and were briefed about the study, and the consent forms were distributed to them to be signed by their parents. During the subsequent visit, data was collected from students whose parents provided consent. Data were collected using an age appropriate modified GSHS self-administered questionnaire. The questionnaire was printed in English and Tamil.

Dietary practices were assessed by questions on vegetable intake, fast food intake, fruit consumption, and eating junk food. Any involvement in sports at school or in the community and the time spent at home for activities like watching TV, doing academic work, and computer use were also found.

The physical activity of the students was computed based on their activity in the previous one-week period, according to their responses to the standardized International Physical Activity Questionnaire (short form) [16]. The specific types of activity assessed were walking, moderate intensity activities, and vigorous intensity activities; and their frequency (measured in days per week) and duration (time per day) for each specific type of activity was also recorded. Students who reported vigorous intensity activity on three days, aggregating 1500 metabolic equivalent of task (MET) min/wk, or 7 days of any combination of walking and moderate or vigorous intensity activities accumulating at least 3000 MET min/wk were considered to have health enhancing physical activity (HEPA). Students were considered to be minimally active if they reported three or more days of vigorous activity of at least 20 minutes per day or 5 or more days of moderate-intensity activity or walking of at least 30 minutes per day or 5 or more days of walking or moderate-intensity or vigorous intensity activities achieving a minimum of at least 600 MET-min/wk. Students who did not meet the criteria for being considered minimally active or HEPA active were considered to be inactive.

Height and weight were measured by two trained field workers. The students' body mass index (BMI) was calculated, and their corresponding BMI percentiles were calculated from the US Centers for Disease Control and Prevention (CDC) growth charts [17]. The students were also classified as underweight (<5th%), normal weight (≥5th% and <85th%), overweight (≥85th and <95th%), and obese (≥95th%), according to the guidelines from the CDC. Ethical approval for this study was obtained from the Institutional Ethics Committee of Sri Ramachandra University, Porur, Chennai. Data were analysed using SPSS version 15.0 (SPSS Inc., Chicago, IL, USA). Pearson's chi-squared test was used to find statistical significance. The independent effects of the predictor variables were calculated by logistic regression models to estimate the adjusted odds ratio (OR) and 95% confidence intervals (CIs). As carbonated drink intake, duration of academic activities, outdoor games, TV watching, computer use, and levels of physical activity were not associated with obesity/overweight, they were not included in the multivariable model.

RESULTS

This study was carried out among 1842 students studying in the VIII to XII standards randomly selected from 30 schools in the city of Chennai. The participants' response rate was 97.15% based on 1896 sampled students. The non-response was because of parents' refusal to sign the consent form.

There were 895 (48.6%) boys and 947 (51.4%) girls included in this study. Among the students, 760 (41.3%) were in the 12- to 14-year-old age group and the remaining 1082 (58.7%) were in the 15- to 18-year-old age group. Information on the father's and mother's education was available for only 1282 and 1249 students, respectively. The fathers of 514 (27.9%) of the students and mothers of 394 (21.4%) of the students had an education higher than the 10th standard. In this study, 1078 (58.5%) students were studying in private schools and 764 (41.5%) students were studying in government, government-aided, or trust-managed schools.

Dietary Behaviour

The following results pertain to the previous 30 days as reported by the students at the time of data collection. Regarding their dietary pattern, 40.6% were vegetarians. Overall, 40.7% of the students ate fruit, such as oranges, apples, or bananas, one or more times per day. Overall, 74.5% of the students usually ate vegetables, such as cucumbers, green salad, or tomatoes, one or more times per day (Table 1).

Overall, 13.7% of the students reported drinking carbonated drinks such as Pepsi, Coke, or Mirinda one or more times per day during the previous 7 days. The difference in the intake of carbonated drinks between the male (16.5%) and female (11.2%) students was significant (p<0.05). Among the students, 411 (22.3%) ate fast food items like cakes, burgers, pizza, noodles, puffs, and fried chaat snacks on 4 to 7 days during the previous week. A significantly higher proportion of male students (25.8%) than female students (19%) (p<0.05) ate fast food items on more than 3 days.

Physical Activity

Among the students, 30.4% watched television for more than two hours per day. Nearly 35% of students did not use a computer, while 37% did so for less than two hours and 28% did so for more than two hours every day. A significantly higher proportion of boys (32.6%) than girls (23.0%) (p<0.001) used computer for more than two hours a day. Overall, 57.7% spent more than two hours every day on academic activities like reading, writing, and homework assignments. A significantly higher proportion of girls (60.5%) than boys (54.6%) (p=0.01) spent more than two hours on academic activities.

Among the students, 54.2% involved themselves in outdoor sports activities. Nearly 68% of the girls and 22% of the boys did not participate in outdoor sports activities at all. Nearly 36% of the boys and 9% of the girls involved themselves in outdoor sports activities for more than one hour per day, and this difference was statistically significant (p<0.001). Among the students, 794 (43.1%) walked to school daily, 410 (22.3%) rode a bicycle, and the remaining 34.6% students commuted by school bus or public transport, or used some type of motorised vehicle. Nearly 71% of the boys and 60% of the girls walked or cycled to school daily. This difference was statistically significant (p<0.001) (Table 1).

The International Physical Activity Questionnaire was used to assess the pattern of physical activity of the students. It was observed that 15.6% (95% CI, 13.9 to 17.3) were inactive, 43.4% (95% CI, 41.1 to 45.7) were minimally active, and the remaining 41.0% (95% CI, 38.7 to 43.2) belonged to the category of HEPA active. The HEPA of adolescents is significantly associated with a lower age group (12 to 15 years), male sex, and lesser duration of time spent in academic activities (Table 2). Regarding physical training classes in schools, 56.6% of students reported that their physical training classes during the previous week had been cancelled for academic or other reasons. Nearly 16% of students reported that they had physical training class for one day during the previous week.

Overweight and Obesity

Among the students, 5.2% were obese, 6.2% were overweight, 57.1% were of normal weight, and 31.5% were underweight as per the age and gender adjusted BMI percentiles of the WHO child growth standards. The prevalence of overweight/obesity was 11.4% (95% CI, 9.9 to 12.8). Of the overweight/obese students, 33% incorrectly perceived that they were either underweight or of normal weight. The study showed significant associations between the overweight/obesity of adolescents and the younger age group, female sex, a high level of father's and mother's education, and the type of school they were attending (Table 3). A significantly higher proportion of students who did not eat fast food items during the previous 7 days and students who commuted by motorised vehicle were overweight/obese than other students. The BMI status of adolescents was not significantly associated with carbonated drink intake, duration of academic activities or outdoor games, or physical activity levels (Table 4).

A logistic regression analysis of predictor variables showed that the sex of adolescents, type of school, and fast food consumption were significantly associated with overweight/obesity (Table 5). Overweight/obesity was significantly less common among male students than among females (OR, 0.6; 96% CI, 0.4 to 0.8). A significantly greater proportion of adolescents studying in private schools were overweight/obese than the students studying in government, government-aided, or trust-managed schools (OR, 2.1; 95% CI, 1.3 to 3.2). Increased fast food consumption was negatively associated with overweight/obesity (OR, 0.5; 96% CI, 0.3 to 0.9).

DISCUSSION

The present study reports on the dietary behaviour, levels of physical activity, and prevalence of overweight and obesity among school-going adolescents in Chennai. A smaller proportion (40%) of adolescents regularly eat fruit than those who ate fast food items (85%) regularly. One third of the adolescents watched television for more than two hours every day. Nearly 45% of the students did not involve themselves in any outdoor sports activities. A high proportion of adolescents (60%) were either inactive or minimally active. Overall, 11.4% of them were overweight or obese.

In the present study, regular fruit consumption one or more times per day was reported by nearly 40% of adolescents, which was similar to the findings in Delhi [14]. Vegetable consumption three or more times per day was reported by only 15% of students. Though there is convincing evidence that fruits and vegetables decrease the risk for obesity, diabetes, and cardiovascular disease [18], the intake of fruits and vegetables among adolescents was found to be low.

Food consumed in fast food restaurants was usually higher in fat content, while containing fewer fruit and vegetables and other healthful nutrients [19]. Eighty-five percent of the students reported eating fast food in the past 7 days, out of which 22% ate out more than three days. Similar findings were reported in Chandigarh [10]. The low consumption of fruits and vegetables and relatively high intake of fast food among the adolescents indicated that personal preferences played an important role in their dietary habits beyond economic considerations.

With growing affluence and a dramatic increase in TV watching and computer use documented in India, it is likely that a greater proportion of adolescents have sedentary behaviour. The present study confirms this fact and notes that nearly 60% of the adolescents were inactive to minimally active and only 41% were HEPA active. HEPA was lower in the adolescents of the older age group (15 to 18 years) and the boys reported more health enhancing activity than the girls. Similar findings have been reported from studies in developed countries [20-22] and India [23]. When we did the analysis, we found that homework or studying after school hours among the older adolescents was not significantly greater than for the younger group. However, in Chennai, the usual practice is to conduct special classes for older adolescents in the schools themselves, extending regular school hours and thus increasing the duration of academic work. When we analysed the daily activities of the adolescents, we found that a significantly greater proportion of older adolescents (32.9%) than younger adolescents (26.8%) (p<0.005) watch television for more than two hours per day and a significantly smaller proportion of older students (19.4%) than younger adolescents (25.7%) (p<0.001) was involved in outdoor sports activity more than 1 hour per day. In India, most families do not allow girls to play outdoor games after they attain menarche, which could be the reason for a significantly lower proportion of girls reporting HEPA. This is a matter of concern, as HEPA is essential for the musculoskeletal and cardiovascular health and fitness of adolescents. It is important that parents make efforts to reduce young people's time spent watching TV and involve them in outdoor sports activities. Since adolescents spend one third of the day in school, strengthening school physical education programmes would be effective in improving the levels of physical activity of both boys and girls. In this study, physical training sessions were not followed as scheduled due to academic or other reasons. It is important that teachers understand the importance of adolescents' being physically active and cooperate by strictly following the norms for physical education in every school.

In the present study the prevalence of overweight and obesity was 6.2% and 5.2%, respectively, among the adolescents. This prevalence in the southern part of India is much lower than that reported from other countries (33% in Italy [24], 49% in Taiwan [25], over 15% in South Africa [26]). This difference could be because of differences in socioeconomic status and dietary behaviours of adolescents in these study areas and as well as differences in their genetic makeup. The prevalence of obesity (5.2%) among the students observed here was supported by the study findings from Chennai [27], reporting a prevalence of 6.2%. Studies in Thiruvananthapuram, Kerala [28] and Delhi [14] based on similar CDC guidelines reported a higher prevalence of overweight and obesity among adolescents (18.3% in Kerala and 17.5% in Delhi). The study in Delhi was done in a private school and in the study in Kerala, a greater proportion of students were from private schools and therefore, clearly, a higher prevalence of overweight and obesity were reported due to the greater purchasing power and higher standard of living of those students.

The present study showed that the prevalence of overweight/obesity was significantly higher among adolescents in the 12- to 14-year-old age group than among adolescents in the age group of 15 to 18 years, as has been observed in other studies [23,29]. This is because of increased adipose tissue and overall body weight in adolescents during puberty [27] than during the post-pubertal period at age 15 years and above. The greater prevalence of obesity in girls than boys observed in this study is similar to the observations of Ramachandran et al. [30] and Agarwal et al. [31].

The present study showed a significant positive association between a higher level of paternal and maternal education and overweight/obesity among the students. A possible reason is that better education is functioning as a proxy measure for higher socioeconomic status, contributing to differences in dietary practices and physical activity patterns. Similar findings were reported from a study in the city of Wardha in central India [32]. The higher prevalence of overweight and obesity among adolescents studying in private schools in this study could also be attributed to their higher socioeconomic status.

Previous intervention studies in school-aged children have supported television and video viewing as causes of childhood obesity [12,33]. However, in the present study, the prevalence of overweight/obesity was not significantly associated with television viewing, computer use, or time spent in outdoor games. This finding is similar to the longitudinal study done among adolescent girls in the United States [34], which did not find associations between hours of after-school TV viewing and BMI and physical activity. The reason for the lack of an association in the present study could be that nearly 70% of the obese adolescents were aware of their weight and would have modified their sedentary lifestyle and spent more time in outdoor games. That would explain why none of the modifiable risk factors were correlated with overweight/obesity but the non-modifiable risk factors such age, sex, and socioeconomic status (assessed through parental education and type of school) were significantly related.

Regarding consumption of fast food, it was found that adolescents who were overweight or obese were actually consuming fast food at a lesser frequency, which can best be explained on the basis of better awareness about their body weight and necessary dietary modifications they had initiated for weight reduction. These findings are in conformity with those of the study from Delhi [14]. In the present study, the mode of transport of the students was one of the determining factors for overweight or obesity. Transportation to school by either walking or cycling reduces the prevalence of overweight or obesity by providing the opportunity for increased physical activity.

The strengths of this study are its random method of selection of schools and students and that both government and private schools were included. A large sample was selected to represent the entire population of high and higher secondary school students in Chennai. An almost equal proportion of boys (48.6%) and girls (51.4%) were included in this study. Data on dietary practices were collected using a set of questions from the age-appropriate GSHS questionnaire modified for India. The data on physical activity levels were measured using the validated International Physical Activity Questionnaire. Hence, the study findings are valid and representative of urban school-going adolescents in Chennai and can be extrapolated to other cities in India.

The main limitation of the study is that objective assessment of physical activity was not done, as it would be difficult to perform in a field situation. Although the individual socioeconomic status of each child was not assessed separately, information on paternal education was obtained as a proxy measure.

The findings of the present study highlight that fewer students had regular intake of fruits and vegetables than the proportion who ate fast food items frequently. This finding implies the importance of spending regular class hours on teaching healthy food habits and the nutritive values of different food items. A low proportion of the students had HEPA levels. Therefore, it is important that the norms for physical education class be strictly followed in schools, and parents should encourage adolescents, irrespective of gender, to actively participate in outdoor games and sports. This study's findings show that a large proportion of overweight and obese adolescents had an accurate perception of their body weight and they were making efforts to modify obesity risk factors such as television viewing, computer use, and unhealthy food consumption.

ACKNOWLEDGEMENTS

Notes

The authors have no conflicts of interest with the material presented in this paper.

REFERENCES

• 1. Bhardwaj S, Misra A, Khurana L, Gulati S, Shah P, Vikram NK. Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr 2008;17(Suppl 1):172-175. 18296330PubMed
• 2. Singhal N, Misra A, Shah P, Rastogi K, Vikram NK. Secular trends in obesity, regional adiposity and metabolic parameters among Asian Indian adolescents in north India: a comparative data analysis of two selective samples 5 years apart (2003, 2008). Ann Nutr Metab 2010;56(3):176-181. 20185901ArticlePubMed
• 3. Must A, Jacques PF, Dallal GE, Bajema CJ, Dietz WH. Long-term morbidity and mortality of overweight adolescents. A follow-up of the Harvard Growth Study of 1922 to 1935. N Engl J Med 1992;327(19):1350-1355. 1406836ArticlePubMed
• 4. Ford ES, Mokdad AH. Epidemiology of obesity in the Western Hemisphere. J Clin Endocrinol Metab 2008;93(11 Suppl 1):S1-S8. 18987267ArticlePubMed
• 5. Misra A, Vikram NK. Insulin resistance syndrome (metabolic syndrome) and obesity in Asian Indians: evidence and implications. Nutrition 2004;20(5):482-491. 15105039ArticlePubMed
• 6. Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science 1998;280(5368):1371-1374. 9603719ArticlePubMed
• 7. Misra A, Khurana L, Vikram NK, Goel A, Wasir JS. Metabolic syndrome in children: current issues and South Asian perspective. Nutrition 2007;23(11-12):895-910. 17936199ArticlePubMed
• 8. Chopra M, Galbraith S, Darnton-Hill I. A global response to a global problem: the epidemic of overnutrition. Bull World Health Organ 2002;80(12):952-958. 12571723PubMedPMC
• 9. Neumark-Sztainer D, Story M, Resnick MD, Blum RW. Correlates of inadequate fruit and vegetable consumption among adolescents. Prev Med 1996;25(5):497-505. 8888316ArticlePubMed
• 10. Galhotra A, Abrol A, Agarwal N, Goel NK, Gupta S. Life style related risk factors for cardiovascular diseases in Indian adolescents. Internet J Health 2009;9(2):doi: 10.5580/4d4
• 11. Robinson TN. Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA 1999;282(16):1561-1567. 10546696ArticlePubMed
• 12. Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit S, Fox MK, et al. Reducing obesity via a school-based interdisciplinary intervention among youth: planet health. Arch Pediatr Adolesc Med 1999;153(4):409-418. 10201726ArticlePubMed
• 13. 2006 India, Central Board of Secondary Education (CBSE): GSHS questionnaire. cited 2013 Jul 13. Available from: http://www.who.int/chp/gshs/2006_India_GSHS_Questionnaire_English.pdf
• 14. Singh AK, Maheshwari A, Sharma N, Anand K. Lifestyle associated risk factors in adolescents. Indian J Pediatr 2006;73(10):901-906. 17090902ArticlePubMed
• 15. Chennai District. Education: number of schools. cited 2013 Jul 13. Available from: http://www.chennai.tn.nic.in/schools.htm
• 16. International physical activity questionnaires. IPAQ: short last 7 days self-administered format. cited 2013 Jul 13. Available from: http://www.ipaq.ki.se/questionnaires/IPAQ_S7S_FINAL_MAY_01.pdf
• 17. Centers for Disease Control and Prevention. About BMI for children and teens. cited 2013 Jul 13. Available from: http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html
• 18. World Health Organization. Diet, nutrition, and the prevention of chronic diseases: report of a WHO-FAO Expert Consultation. Geneva: World Health Organization; 2003. p. 40-42
• 19. Lin BH, Guthrie JE. Nutrient contribution of food away from home. In: Frazao E, editor. America's eating habits: changes and consequences. Washington, DC: US Department of Agriculture; 1999. p. 213-242
• 20. Olds T, Wake M, Patton G, Ridley K, Waters E, Williams J, et al. How do school-day activity patterns differ with age and gender across adolescence? J Adolesc Health 2009;44(1):64-72. 19101460ArticlePubMed
• 21. Nader PR, Bradley RH, Houts RM, McRitchie SL, O'Brien M. Moderate-to-vigorous physical activity from ages 9 to 15 years. JAMA 2008;300(3):295-305. 18632544ArticlePubMed
• 22. Trost SG, Pate RR, Sallis JF, Freedson PS, Taylor WC, Dowda M, et al. Age and gender differences in objectively measured physical activity in youth. Med Sci Sports Exerc 2002;34(2):350-355. 11828247ArticlePubMed
• 23. Swaminathan S, Selvam S, Thomas T, Kurpad AV, Vaz M. Longitudinal trends in physical activity patterns in selected urban south Indian school children. Indian J Med Res 2011;134: 174-180. 21911969PubMedPMC
• 24. Lazzeri G, Rossi S, Pammolli A, Pilato V, Pozzi T, Giacchi MV. Underweight and overweight among children and adolescents in Tuscany (Italy). Prevalence and short-term trends. J Prev Med Hyg 2008;49(1):13-21. 18792529PubMed
• 25. Chou YC, Pei JS. Risk factors of adolescent osure and waist circumference. Asian J Sports Med 2010;1(4):214-222. 22375210PubMedPMC
• 26. Rossouw HA, Grant CC, Viljoen M. Overweight and obesity in children and adolescents: the South African problem. S Afr J Sci 2012;108(5/6):doi: 10.4102/sajs.v108i5/6.907Article
• 27. Laxmaiah A, Nagalla B, Vijayaraghavan K, Nair M. Factors affecting prevalence of overweight among 12- to 17-year-old urban adolescents in Hyderabad, India. Obesity (Silver Spring) 2007;15(6):1384-1390. 17557974ArticlePubMed
• 28. Ramesh K. Prevalence of overweight and obesity among high school students of Thiruvananthapuram City Corporation, Kerala, India. Australas Med J 2010;3(10):650-661
• 29. Kaur S, Kapil U, Singh P. Pattern of chronic diseases amongst adolescent obese children in developing countries. Curr Sci 2005;88(7):1052-1056
• 30. Ramachandran A, Snehalatha C, Vinitha R, Thayyil M, Kumar CK, Sheeba L, et al. Prevalence of overweight in urban Indian adolescent school children. Diabetes Res Clin Pract 2002;57(3):185-190. 12126768ArticlePubMed
• 31. Agarwal KN, Saxena A, Bansal AK, Agarwal DK. Physical growth assessment in adolescence. Indian Pediatr 2001;38(11):1217-1235. 11721062PubMed
• 32. Bharati DR, Deshmukh PR, Garg BS. Correlates of overweight & obesity among school going children of Wardha city, Central India. Indian J Med Res 2008;127(6):539-543. 18765871PubMed
• 33. Giammattei J, Blix G, Marshak HH, Wollitzer AO, Pettitt DJ. Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med 2003;157(9):882-886. 12963593ArticlePubMed
• 34. Robinson TN, Hammer LD, Killen JD, Kraemer HC, Wilson DM, Hayward C, et al. Does television viewing increase obesity and reduce physical activity? Cross-sectional and longitudinal analyses among adolescent girls. Pediatrics 1993;91(2):273-280. 8424000ArticlePubMedPDF

Figure & Data

References

Citations

Citations to this article as recorded by  

• Prevalence of overweight and obesity and associated demographic and health factors in India: Findings from Comprehensive National Nutrition Survey (CNNS)
  Vani Sethi, Shalini Bassi, Deepika Bahl, Abhishek Kumar, Tashi Choedon, Neena Bhatia, Arjan de Wagt, William Joe, Monika Arora
  Pediatric Obesity.2024;[Epub]     CrossRef
• Study of obesity among adolescents in rural Wardha district
  Arpana Bhagat, Ashok Mehendale, Komal Muneshwar
  F1000Research.2024; 13: 527.     CrossRef
• Influences of role models and other factors on physical activity amongst 6 to 16 years overweight and obese students
  Rohit Batish, Simmi Oberoi, Harmanjeet Singh, Ira Jain, Amandev Singh, Arsh Garg, Bani Suri, Avneet Kaur
  Journal of Family Medicine and Primary Care.2024; 13(8): 3238.     CrossRef
• Non-alcoholic Fatty Liver Disease in Children
  Emir Muzurović, Stergios A. Polyzos, Dimitri P. Mikhailidis, Sanja Borozan, Dušanka Novosel, Oleg Cmiljanić, Nataša Kadić, Christos S. Mantzoros
  Current Vascular Pharmacology.2023; 21(1): 4.     CrossRef
• Bone Mineral Density and Serum Bone Turnover Markers among Post-Menarchal Girls from Rural South India
  Gibeah Harriet, Sophy Korula, Grace Rebekah, Nitin Kapoor, Kripa Elizabeth Cherian, Arun Jose, Sarah Mathai, Thomas V. Paul
  Indian Journal of Endocrinology and Metabolism.2023; 27(3): 242.     CrossRef
• Physical Activity Levels And Junk Food Intake Among School Going Adolescents In A North Indian City
  Sameena Ahmad, M Athar Ansari, Ali J Abedi, Salman Khalil, Uzma Eram, Najmul A Khan
  Indian Journal of Community Health.2023; 35(2): 182.     CrossRef
• The association of body image, percent body fat, nutrient intake, physical activity among adolescent
  Nazhif Gifari, Laras Sitoayu, Rachmanida Nuzrina, Putri Ronitawati, Mury Kuswari, Teguh Jati Prasetyo
  Nutrition & Food Science.2022; 52(8): 1221.     CrossRef
• Sport policy in India
  Joanne Clarke, Sarthak Mondal
  International Journal of Sport Policy and Politics.2022; 14(4): 729.     CrossRef
• Conflicts between adolescents and their caregivers living in slums of Mumbai, India in relation to junk food consumption and physical activity
  Harsha Vipin Chopra, Meera Jayant Gandhi, Sirazul Ameen Sahariah, Susie Weller, Ramesh Dattatray Potdar, Mary Barker, Sarah Helen Kehoe, Caroline HD Fall, Polly Hardy-Johnson
  Public Health Nutrition.2021; 24(16): 5207.     CrossRef
• Healthy lifestyles and noncommunicable diseases: Nutrition, the life‐course, and health promotion
  Marlon E. Cerf
  Lifestyle Medicine.2021;[Epub]     CrossRef
• Prevalence of Excessive Weight and Underweight and Its Associated Knowledge and Lifestyle Behaviors among Urban Private School-Going Adolescents in New Delhi
  Tina Rawal, Maartje Willeboordse, Monika Arora, Nitika Sharma, Gaurang P. Nazar, Nikhil Tandon, Constant P. van Schayck
  Nutrients.2021; 13(9): 3296.     CrossRef
• Relationship between diet and acculturation among South Asian children living in Canada
  Salmi Noor, Mahshid Dehghan, Scott A. Lear, Sumathi Swaminathan, Quazi Ibrahim, Sumathy Rangarajan, Zubin Punthakee
  Appetite.2020; 147: 104524.     CrossRef
• Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison
  Silvia A. González, Salomé Aubert, Joel D. Barnes, Richard Larouche, Mark S. Tremblay
  International Journal of Environmental Research and Public Health.2020; 17(16): 5997.     CrossRef
• Individual, Social and Environmental Correlates of Active School Travel among Adolescents in India
  Abishamala Kingsly, Anna Timperio, Jenny Veitch, Jo Salmon, Rajendra Pradeepa, Harish Ranjani, Ranjit Mohan Anjana
  International Journal of Environmental Research and Public Health.2020; 17(20): 7496.     CrossRef
• Barriers and Enablers That Influence Overweight/Obesity/Obesogenic Behavior in Adolescents From Lower-Middle Income Countries: A Systematic Review
  Carol Góis Leandro, Eveline Viana da Silva da Fonseca, Cybelle Rolim de Lim, Mario Eugénio Tchamo, Wylla Tatiana Ferreira-e-Silva
  Food and Nutrition Bulletin.2019; 40(4): 562.     CrossRef
• Physical Activity Level among Pre-University Students of Mangaluru City: A Cross-Sectional Study
  Karuna Neupane, Mackwin Kenwood Dmello
  International Journal of Physical Education, Fitness and Sports.2019; : 29.     CrossRef
• Association between full service and fast food restaurant density, dietary intake and overweight/obesity among adults in Delhi, India
  Opal Patel, Safraj Shahulhameed, Roopa Shivashankar, Mohammad Tayyab, Atiqur Rahman, Dorairaj Prabhakaran, Nikhil Tandon, Lindsay M. Jaacks
  BMC Public Health.2018;[Epub]     CrossRef
• The role of Indian school canteens in nutrition promotion
  Neha Rathi, Lynn Riddell, Anthony Worsley
  British Food Journal.2018; 120(1): 196.     CrossRef
• Results from India’s 2018 Report Card on Physical Activity for Children and Youth
  Jasmin Bhawra, Priyanka Chopra, Ranjani Harish, Anjana Mohan, Krishnaveni V. Ghattu, Kumaran Kalyanaraman, Tarun R. Katapally
  Journal of Physical Activity and Health.2018; 15(s2): S373.     CrossRef
• Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update
  Valerie Carson, Stephen Hunter, Nicholas Kuzik, Casey E. Gray, Veronica J. Poitras, Jean-Philippe Chaput, Travis J. Saunders, Peter T. Katzmarzyk, Anthony D. Okely, Sarah Connor Gorber, Michelle E. Kho, Margaret Sampson, Helena Lee, Mark S. Tremblay
  Applied Physiology, Nutrition, and Metabolism.2016; 41(6 (Suppl. ): S240.     CrossRef
• Food environment and policies in private schools in Kolkata, India: Table 1:
  Neha Rathi, Lynn Riddell, Anthony Worsley
  Health Promotion International.2016; : daw053.     CrossRef
• What influences urban Indian secondary school students' food consumption? – A qualitative study
  Neha Rathi, Lynn Riddell, Anthony Worsley
  Appetite.2016; 105: 790.     CrossRef
• Prevalence and correlates of achieving recommended physical activity levels among children living in rural South Asia—A multi-centre study
  Krithiga Shridhar, Christopher Millett, Anthony A. Laverty, Dewan Alam, Amit Dias, Joseph Williams, Preet K. Dhillon
  BMC Public Health.2016;[Epub]     CrossRef
• A Study To Assess The Effectiveness Of Child To child Teaching On Knowledge Regarding Prevention Of Obesity Among School Children
  Mr. N. R. Karthik, Mrs. Cecilia Vardhini, Mrs. Arulmozhi LNU
  Pondicherry Journal of Nursing.2016; 9(3): 36.     CrossRef
• Influence of dietary pattern, physical activity, and I148M PNPLA3 on steatosis severity in at-risk adolescents
  Valerio Nobili, Daniela Liccardo, Giorgio Bedogni, Guglielmo Salvatori, Daniela Gnani, Iliana Bersani, Anna Alisi, Luca Valenti, Massimiliano Raponi
  Genes & Nutrition.2014;[Epub]     CrossRef
• Measuring Brand Awareness as a Component of Eating Habits in Indian Children: The Development of the IBAI Questionnaire
  Maria Gabriella Vecchio, Marco Ghidina, Achal Gulati, Paola Berchialla, Elizabeth Cherian Paramesh, Dario Gregori
  The Indian Journal of Pediatrics.2014; 81(S1): 23.     CrossRef
• Cross-Regional Analysis of Multiple Factors Associated with Childhood Obesity in India: A National or Local Challenge?
  Dario Gregori, Achal Gulati, Elizabeth Cherian Paramesh, Powlin Arockiacath, Rosanna Comoretto, Haralappa Paramesh, Alexander Hochdorn, Ileana Baldi
  The Indian Journal of Pediatrics.2014; 81(S1): 5.     CrossRef