Article
Original Article

Srinidhi Koya1 , Deepa R2 , Nandini K R3 , Giridhara R Babu4

1. DTA3 MSCA Research Fellow, SSSHL, Teesside University. 2. Research Associate, IIPH Bengaluru, Public Health Foundation of India. Senior Medical Officer, Dept. of Health and Family Welfare, Govt. of Karnataka. 3. Head and Professor, Life course Epidemiology, Public Health Foundation of India, and Wellcome Trust-DBT India Alliance Research Fellow in Public Health. 

Address for correspondence:

Dr. Giridhara R. Babu,

MBBS, MPH, PhD (UCLA). Head, Life course Epidemiology, IIPH Bangalore, Public Health Foundation of India and Wellcome Trust-DBT India Alliance Intermediate Fellow in Public Health.

Email: giridhar@iiphh.org

Date of Received: 30/07/2019                                                                              Date of Acceptance:29/08/2019

Year: 2019, Volume: 4, Issue: 3, Page no. 14-25,
Views: 997, Downloads: 27
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Abstract

Background: India has the second-highest proportion of obese children in the world. Various studies have shown that lifestyle modifications can reduce the risk of developing obesity. Intending to develop an effective intervention, we conducted a pilot study to assess the health behaviours like diet, physical activity andmindfulness amongst school children and parents. We assessed the receptivity of children and parents towards a potential school-based intervention as well.

Methodology: Adolescent children studying in Urban Bengaluru, India, and their parents were approached for taking part in this crosssectional study. Only students and parents who voluntarily participated and provided informed assent and consent were considered for the study. Data were collected in March and April 2019 by trained data collectors and research assistants. Students and parents were administered questionnaires by the research team. Descriptive analysis was done using the statistical software, R Commander.

Results: Over 25-33% of the students did not consumeany fruits or vegetables the previous day but at least 30% of them had fried food and sweets at least once. Similarly, only a third of the students had moderate levels of physical activity daily. Half of the students had CAMM (Child and Adolescent Mindfulness Measure) scores higher than the median value. With a Cronbach’s alpha value of 0.778, we were able to validate the CAMM questionnaire in Kannada. More than 50% of the children and parents were interested in taking part in an interventional study.

Conclusion: The participants in our study had poor dietary intake and low physical activity levels. Obesity prevention interventions developed for the adolescent age group would have to focus on improving their dietary habits and physical activity levels. 

<p><strong>Background:</strong>&nbsp;India has the second-highest proportion of obese children in the world. Various studies have shown that lifestyle modifications can reduce the risk of developing obesity. Intending to develop an effective intervention, we conducted a pilot study to assess the health behaviours like diet, physical activity andmindfulness amongst school children and parents. We assessed the receptivity of children and parents towards a potential school-based intervention as well.</p> <p><strong>Methodology:&nbsp;</strong>Adolescent children studying in Urban Bengaluru, India, and their parents were approached for taking part in this crosssectional study. Only students and parents who voluntarily participated and provided informed assent and consent were considered for the study. Data were collected in March and April 2019 by trained data collectors and research assistants. Students and parents were administered questionnaires by the research team. Descriptive analysis was done using the statistical software, R Commander.</p> <p><strong>Results:&nbsp;</strong>Over 25-33% of the students did not consumeany fruits or vegetables the previous day but at least 30% of them had fried food and sweets at least once. Similarly, only a third of the students had moderate levels of physical activity daily. Half of the students had CAMM (Child and Adolescent Mindfulness Measure) scores higher than the median value. With a Cronbach&rsquo;s alpha value of 0.778, we were able to validate the CAMM questionnaire in Kannada. More than 50% of the children and parents were interested in taking part in an interventional study.</p> <p><strong>Conclusion:&nbsp;</strong>The participants in our study had poor dietary intake and low physical activity levels. Obesity prevention interventions developed for the adolescent age group would have to focus on improving their dietary habits and physical activity levels.&nbsp;</p>
Keywords
Diet, physical activity, adolescents, obesity prevention interventions, South India
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Introduction

Childhood obesity rates have surpassed rates of undernutrition in Asia.1,2 India has the secondhighest proportion of obese children in the world with the proclivity of acquiring cardiovascular diseases (CVDs) a decade earlier3-6 and has the highest number of diabetics in the world as well.7,8 Physical inactivity, low consumption of fruits, and vegetables (F&Vs) are major obesogenic factors.9-11 Various studies have shown that lifestyle modifications like increasing physical activity, decreasing intake of processed foods, and increasing vegetable & fruit consumption can primarily reduce the risk of developing obesity and other ailments.12-15

The NFHS-4 results indicate that 33.4% of the women and 27.5% of the men aged between 15- 49 years are overweight or obese in Bengaluru Urban district.16 Other studies done in the city indicate 7-13% and 4-6% are overweight and obese (O-O)respectively among adolescent children in Bengaluru.17-19 A cross-sectional study of nearly 4000 schoolchildren found that 27.1% of them were overweight and 13.7% of them were obese.20 Address Health, a pioneer in primary healthcare for school children, conducted a study along with Rainbow Hospitals, and found 20.7% of the schoolgoing children to be overweight or obese. 21 Nearly 1 in 7 children have a waist to hip ratio > 0.5, which puts them at risk for coronary heart diseases.22

Increased TV viewing, decreased sleep duration, and increased fried food consumption have been associated with being overweight as per a study conducted among the city children by St. John's Hospital.23 Another hospital-based observational study conducted in the city found that obese adolescents were more likely to belong to the higher socioeconomic strata, had a mixed diet and sleep disturbances.24 Studies conducted across various cities in India found that children were consuming high levels of energy dense foods, had insufficient fruit and vegetable intake and, had inadequate physical activity levels.25-28

Childhood obesity is a known risk factor for unfavourable health conditions, such as the development of chronic diseases during adulthood.29,30 In Karnataka, the type 2 diabetes mellitus (T2DM) rates are 12.9% among females and 13.8% among males; well above the national median of 7.4% prevalence.31 CNNS reported that 4% of school-age children were overweight or obese (BMI-for-age >+1 SD), 8% of schoolage children were overweight as measured by SSFT (SSFT for-age >+1 SD).32 These numbers lay importance on developing interventions for school children in India.

A literature review of obesity prevention interventions for children found that healthy eating and physical activity were the most effective components. 33 In recent years, it has been found that mindfulness-based interventions can be effective in preventing obesity as well. 34 Unfortunately, we do not have sufficient literature regarding such intervention studies in India. To address the burden of the overweight-obesity epidemic in school-going children, it is important to understand theirreceptivity for potential strategies. The success of any intervention is mainly determined by the receptiveness of the target population towards the intervention. For this, we must be able to assess their health behaviours, perceptions, and interest inthe interventions.It is shown that parental engagement is necessary for any successful intervention in reducing childhood obesity. 12 Hence, we decided to include parents in this survey study as well.

We conducted a pilot study to assess the health behaviours amongst school children and their parents. Also, we aimed to assess the receptivity of children and their parents towards a potential school-based intervention that encourages children to increase fruit and vegetable consumption and physical activity levels.

Materials and methods

We conducted a cross-sectional study among school children and, their parents to assess their eating behaviour, level of physical activity, and interest in school-based interventions. Our study was based in urban Bengaluru, India and our target study group included adolescent children enrolled in schools and their parents. The research team approached the students and parents through random selection and snowball sampling. Invitations to be a part of the study were sent to schools for the higher, middle, and lower socioeconomic strata. The schools which showed interest were further pursued. In addition to this, trained data collectors approached the target population at tuition centres, summer camps, and shopping malls. Secure online survey forms were forwarded via social media apps amongst parents and children. Our inclusion criteria were: 1) Residing in Bengaluru, 2) students belonging to the age group of 12-16 years 3) parents of students belonging to the age group of 12-16 years and, 4) informed assent and consent have been obtained from the participants. We ensured that participants from all socioeconomic strata were included in the study.

Study tool, data collection, and analysis:

The participants were first given a detailed explanation about the study and questionnaires and then, the interested participants were administered with the questionnaire. Informed consent was taken from the parents before administering the questionnaire to the students. Data were collected in March and April 2019 by trained data collectors and research assistants.

Students were administered a 40- items- survey questionnaire which was developed by the research team. It comprised of a student questionnaire developed and modified by University of California, Los Angeles (UCLA), the validated Child and Adolescent Mindfulness Measure (CAMM) questionnaire 35, and questions from the Global School-based Student Health Survey (GSHS)36, India 2006.

The student baseline questionnaire was initially developed by UCLA to study health-related behaviours and attitudes pertaining to diet and physical activity and, how this can reduce the risk of developing cancer. The CAMM questionnaire is a mindfulness questionnaire designed for children and adolescents. It helps assess their actions based on awareness and acceptance of internal experiences. It was translated to Kannada and back-translated to English before being administered to children. The GSHS questionnaire was developed by the World Health Organization (WHO) to measure and assess behavioural risk factors among children aged 13-17 years. Factors like alcohol use, dietary behaviours, drug use, hygiene, mental health, physical activity; protective factors, sexual behaviour, tobacco use, violence, and unintentional injury can be assessed using this tool. For the purpose of this study, questions about dietary behaviours and physical activity were used for developing the student questionnaire . The CAMM tool suggests that the higher the score, the higher is the mindfulness level of the child. The Cronbach’s alpha value for the CAMM questionnaire was 0.778 in our pilot study.

It took an average of 20 minutes to administer the student questionnaire on each participant. We developed the 19- item- parent survey questionnaire to capture parenting perceptions and attitudes towards the child’s dietary and eating habits, as well as physical activity. It took an average of 5 minutes for each parent to finish answering the questionnaire. Parents were approached at schools and other training institutes.

After cleaning the collected data, descriptive analysis was done using the statistical software, R Commander [R x64 3.4.1, R for Windows GUI front-end. R Core Team (2013).R a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria].

Ethical Considerations:

The study was reviewed and approved by the institutional technical review and ethics committee at the Indian Institute of Public HealthHyderabad (Bengaluru Campus) (IIPHHB/TRCIEC/145/2019). It has been performed following the relevant guidelines and regulations for public health research in India. Only students and parents who voluntarily participated and provided informed assent and consent were considered for the study.

Results

We had a total of 458 students and 85 parents who took part in the surveys. Among the 458 students who participated in the survey, there were an equal number of boys and girls who took part in the study and their mean age was around 13.7 ± 1.73 years. Almost 83% of them belonged to the lower socioeconomic strata.

When it comes to dietary habits, almost half of the students (34%) consumed dairy products and 100% fruit juice once a day, 42% of them consumed sweetened juice and about 48% of them consumed carbonated drinks once a day. One-third of the children (33%) did not consume any fruits the previous day, and 26% of them did not consume any vegetables. While only 29-30% of the students consumed fruits and vegetables once a day, 22% of them consumed vegetables thrice a day, and 12 % consumed fruits thrice a day; 31-33% of them consumed fried food and sweets once a day. Over 40- 43% feel fruits and vegetables fill up onequarter of their average plates and yet, almost half of the student sample (46%) feels that they eat the right amount of fruits and vegetables.

Over20% of the students regularly had an intense level of physical activity, and 31% of them regularly had a moderate level of physical activity. Almost one-quarter of the group (24%) had physical activity during PE classes only once a week. Only 29% feel they require at least 60 minutes of physical activity and 27% feel they require at least 40 minutes of physical activity daily.Almost one-third of the students (31%) watch TV for 1 hour, and 12% of them watch TV for 3 hours on an average school day.

The students felt that almost one-third of the parents (31%) often consumed high-calorie food, 39% of the parents sometimes consumed highcalorie food once a week and 53% always eat a lot of fruits and vegetables. Only 28% of the parents always limit their TV viewing or gaming habits, and sometimes, 55% of them limit the consumption of carbonated drinks. Only 10-15% of the families exercise regularly/ often or are physically active. While 41-43% of the students watch TV or use the mobile phone while dining at home, a vast majority of the students (66%) do not sit with their family while eating dinner.

Out of a total score of 40, the mean CAMM score was 25.28 ± 6.91, and the median CAMM score was 26. Over 54% of them had CAMM scores equal to 26 or above.

About 49-50% of the students are actively interested in taking part in the fruit and vegetable tasting, gardening activities, and yoga activities if conducted in their school. Almost 10% are strongly not interested in any of the interventions.A vast majority suggested additional activities like sports, exercises, and dancing for improving their physical health.

Out of the 85 parents who took part in the survey, two-thirds of them (68%) were women, and the mean age of the sample was 37.03 ± 7.51 years. Only 30% of the respondents and their spouses were graduates/postgraduates, and 40% of the sample belonged to the middle socioeconomic strata.

Three-quarters of the sample live in nuclear families. More than two- thirds of the respondents (70%) buy groceries, regularly prepare meals, and pack their child's lunch box. However, only about 50% of them made most of the decisions regarding their child's lifestyle; 40% of the spouses and 10% of other elders in the family made most of the decisions.

About half of the children (55%) were served fruits and vegetables once a day, and 25% were served vegetables twice a day and fruits less than one time per day. Almost 30% of them consume processed food 2-3 times per week and carbonated drinks once a week. 20% of them consume junk food daily, consume meat 2-3 times per week, and consume packaged fruit juice once a week.

A vast majority of 95% of the parents encourage their children to be physically active, but only 80% of the children are active. Only half of the parents are physically active, and one-fourth of them practice yoga at home. More two- thirds (70%) of the parents have a garden at home and encourage their kids to take part in supervised gardening/ cooking activities. However, only 50% of the children help in maintain the plants at home.

Students reported that almost two-thirds of the parents (57- 59%) sit with their child and watch TV while having dinner at home and a third of the sample (34%) checks their phone while eating.

bout 60% of the parents are actively interested in letting their children take part in the intervention and playing a vital role in the intervention as parents. A small percentage of 5% were firmly disinterested in it. Parents have suggested additional activities such as exercises, sports, dancing, health education, improving the child's mental health, and initiating discussions on health in the family.

Discussion

Overall, we found that a third of the children consumed fried food and sweetsregularly, did not consume fruits and vegetables daily, and had moderate levels of physical activity. Our results are in accordance with other studies conducted on the same age group across India. A study conducted in a private school in Kolkata among adolescent children found that almost 45% of the children did not consume fruits daily and 30% did not consume vegetables daily. There was high consumption of energy-dense food instead. 25 A Chennai based study on teenagers found that moderate levels of consumption of fast food and sweetened beverages were more than that of fruits and vegetables. The students reported moderate levels of physical activity as well. 26 Another school-based study conducted in a city in Karnataka found that there was high consumption of energy-dense food and low consumption of fruits, vegetables, and dairy products when compared to the dietary guidelines. 27A study conducted amongst adolescent children in Anand, India found that that they had inadequate physical activity levels and many of the students were overweight or obese. 28 The results in our study support studies conducted in other cities in India.

Over the past few decades, India has witnessed an epidemiological transition, with the increase in the prevalence of risk factors for chronic diseases which include an increase in consumption of saturated fat and processed foods.37 Traditional Indian diets predominantly focused on whole grains such as millet, barley and amaranth; unpolished brown rice, pulses, roots, tubers, curd, unsaturated cooking oils, and occasionally, ghee38. However, the contemporary diet has transited to low consumption of proteins and overconsumption of refined carbohydrates by replacing lentils, fruits vegetables, unrefined whole grains, nuts, and seeds.39 An increase in the consumption of processed food that is high in salt and fatty acids is a vital component of the nutritional transition in India.38, 40

Mindfulness has been introduced added into the curriculum of various schools in developed countries.41 This has been initiated to teach children the importance of mental health and how to take care of it.41 We had assessed mindfulness through the CAMM questionnaire and almost half of the students had scored lower than the median value. This sheds light on the need for mental health and well- being sessions for children to cope with every day and academic stress.Although the CAMM questionnaire has been validated in English and Spanish, no data has been reported in the Indian context. 35,42 To our knowledge, this is the first study in India to validate the CAMM questionnaire in a local language (Kannada).

The main weakness of this study is that it has not assessed the BMI of the children. If this was collected, we could study its relationship with dietary habits and physical activity. We were unable to do so due to time constraints. Also, the study is vulnerable to recall bias. Students and parents might have understated or overstated their health practices during the survey, which can affect our results. Alcohol and tobacco consumption could not be recorded as most students do not reveal the truth as they fear that if their school and parents get to know, strict action would be taken against them.

In conclusion, our pilot study results confirm to the existing studies in other cities in India and help in validating the necessity for nutrition-based interventions to control the NCD epidemic in the country. Early life interventions are always more favourable than adult life interventions due to their effectiveness and cost benefits.43 Most health behaviours get established by adolescence and hence, developing interventions targeting this age group would be appropriate.44 The students and their parents are interested in interventions that aim at improving their health such as regular fruit and vegetable tasting, fruit and vegetable gardening, yoga, and other exercises aimed at improving one’s mindfulness. The proposed interventions should focus on improving their physical activity levels and liking for fruits and vegetables.

Declarations

Not applicable.

Availability of data and information

The datasets used and analysed during the study are available from the corresponding author on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

The study was funded by an Intermediate Fellowship by the Wellcome Trust DBT India Alliance (Clinical and Public Health Research Fellowships) to Dr.Giridhara R Babu. (Grant Number: IA/CPHI/14/1/501499).

Authors’ contributions

SK developed the research tools, collected certain sections of the data, analysed the results, and wrote the manuscript. DR developed the research tools, collected certain sections of the data, and edited the manuscript. NKR collected and analysed certain sections of the data. GRB conceptualised the study, developed the research tools, and edited the manuscript.

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References

1. Ezzati M, Pearson-Stuttard J, Bennett JE, Mathers CD. Acting on non-communicable diseases in lowand middle-income tropical countries. Nature. 2018;559(7715):507.

2. Ramachandran A, Snehalatha C. Rising burden of obesity in Asia. Journal of obesity. 2010;2010.

3. Shelgikar K, Yajnik C, Hockaday T. Central rather than generalized obesity is related to hyperglycaemia in Asian Indian subjects. Diabetic medicine. 1991;8(8):712-7.

4. Chandalia M, Abate N, Garg A, Stray-Gundersen J, Grundy SM. Relationship between generalized and upper body obesity to insulin resistance in Asian Indian men. The Journal of Clinical Endocrinology & Metabolism. 1999;84(7):2329-35.

5. Ramachandran A, Snehalatha C, Shetty AS, Nanditha A. Trends in prevalence of diabetes in Asian countries. World journal of diabetes. 2012;3(6):110.

6. Rhee E-J. Diabetes in Asians. Endocrinology and Metabolism. 2015;30(3):263-9.

7. Kaveeshwar SA, Cornwall J. The current state of diabetes mellitus in India. The Australasian medical journal. 2014;7(1):45.

8. Dandona L, Dandona R, Kumar GA, Shukla D, Paul VK, Balakrishnan K, et al. Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study. The Lancet. 2017;390(10111):2437-60.

9. Kar SS, Kar SS. Prevention of childhood obesity in India: Way forward. Journal of natural science, biology, and medicine. 2015;6(1):12.

10. Ramallal R, Toledo E, Martínez JA, Shivappa N, Hébert JR, Martínez-González MA, et al. Inflammatory potential of diet, weight gain, and incidence of overweight/obesity: The SUN cohort. Obesity. 2017;25(6):997-1005.

11. Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. New England Journal of Medicine. 2011;364(25):2392-404.

12. Verjans-Janssen SR, van de Kolk I, Van Kann DH, Kremers SP, Gerards SM. Effectiveness of schoolbased physical activity and nutrition interventions with direct parental involvement on children’s BMI and energy balance-related behaviors–A systematic review. PloS one. 2018;13(9):e0204560.

13. Wang MC, Rauzon S, Studer N, Martin AC, Craig L, Merlo C, et al. Exposure to a comprehensive school intervention increases vegetable consumption. Journal of Adolescent Health. 2010;47(1):74-82.

14. Maxwell AE, Castillo L, Arce AA, De Anda T, Martins D, McCarthy WJ. Peer Reviewed: Eating Veggies Is Fun! An Implementation Pilot Study in Partnership With a YMCA in South Los Angeles. Preventing chronic disease. 2018;15.

15. Ma J, Strub P, Xiao L, Lavori PW, Camargo Jr CA, Wilson SR, et al. Behavioral weight loss and physical activity intervention in obese adults with asthma. A randomized trial. Annals of the American Thoracic Society. 2015;12(1):1-11.

16. Ministry of Health and Family Welfare GoI. National Family Health Survey-4, District Fact SheetBengaluru, Karnataka. 2015-16.

17. Kamath B, Bengalorkar GM, Deepthi R, Muninarayan C, Ravishankar S. Prevalence of overweight and obesity among adolescent school going children (12-15years) in urban area, South India. International Journal of Current Research and Review. 2012;4(20):99.

18. Rohith M, Philip G. A study on prevalence of overweight and obesity amongst school children of Bengaluru. International Journal Of Community Medicine And Public Health. 2018;6(1):159-63.

19. Sood A, Sundararaj P, Sharma S, Kurpad AV, Muthayya S. BMI and body fat percent: affluent adolescent girls in Bengaluru City. Indian pediatrics. 2007;44(8):587.

20. India To. Obesity among children in Bengaluru is on the rise 2016. Available from: https://timesofindia. indiatimes.com/life-style/health-fitness/health-news/Obesity-among-children-in-Bengaluru-is-onthe-rise/articleshow/52516383.cms.

21. Karnataka N. 21 percent kids in Bengaluru are obese: AddressHealth study: News Karnataka; 2017. Available from: https://www.newskarnataka.com/bangalore/21-percent-kids-in-bangalore-areobese-addresshealth-study.

22. Chronicle D. Fancy food habits making kids sick: Deccan Chronicle; 2018. Available from: https:// www.deccanchronicle.com/lifestyle/health-and-wellbeing/131218/fancy-food-habits-making-kidssick.html.

23. Kuriyan R, Bhat S, Thomas T, Vaz M, Kurpad AV. Television viewing and sleep are associated with overweight among urban and semi-urban South Indian children. Nutrition Journal. 2007;6(1):25.

24. Vedavathy S. GK, Sangamesh. Prevalence of obesity and its risk factors in school going adolescents of urban Bengaluru, India. International Journal of Contemporary Pediatrics. 2016;3(2):568-74.

25. Rati N, Riddell L, Worsley A. Food consumption patterns of adolescents aged 14–16 years in Kolkata, India. Nutrition journal. 2017;16(1):50

26. Subashini MK, Sunmathi MD, Nalinakumari S. Prevalence of overweight and obesity among private and government school children. Int J Adv Eng Sci. 2015;4(9):48-66.

27. Shaikh NI, Patil SS, Halli S, Ramakrishnan U, Cunningham SA. Going global: Indian adolescents’ eating patterns. Public health nutrition. 2016;19(15):2799-807.

28. Dave H, Nimbalkar SM, Vasa R, Phatak AG. Assessment of Physical Activity among Adolescents: A Cross-sectional Study. Journal of Clinical & Diagnostic Research. 2017;11(11).

29. Maffeis C, Tatò L. Long-term effects of childhood obesity on morbidity and mortality. Hormone Research in Paediatrics. 2001;55(Suppl. 1):42-5.

30. Baker JL, Olsen LW, Sørensen TI. Childhood body-mass index and the risk of coronary heart disease in adulthood. New England journal of medicine. 2007;357(23):2329-37.

31. Geldsetzer P, Manne-Goehler J, Theilmann M, Davies JI, Awasthi A, Danaei G, et al. Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults. PLos Med. 2018;15(6):23.

32. Ministry of Health and Family Welfare (MoHFW) GoI. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi: UNICEF and Population Council. 2019. , 2019.

33. Merrotsy A, McCarthy A, Flack J, Coppinger T. Obesity prevention programs in children: the most effective settings and components. A literature review. Journal of Obesity and Chronic Diseases. 2018;2(2):62-75.

34. Barnes VA, Kristeller JL. Impact of mindfulness-based eating awareness on diet and exercise habits in adolescents. International journal of complementary & alternative medicine. 2016;3(2).

35. Kuby AK, McLean N, Allen K. Validation of the Child and Adolescent Mindfulness Measure (CAMM) with non-clinical adolescents. Mindfulness. 2015;6(6):1448-55.

36. Fitzsimons KJ, Modder J, Greer IA. Obesity in pregnancy: risks and management. Obstetric medicine. 2009;2(2):52-62.

37. Singh RB, Singh S, Chattopadhya P, Singh K, Singh V, Kulshrestha SK, et al. Tobacco consumption in relation to causes of death in an urban population of north India. International journal of chronic obstructive pulmonary disease. 2007;2(2):177.

38. Singh PN, Arthur KN, Orlich MJ, James W, Purty A, Job JS, et al. Global epidemiology of obesity, vegetarian dietary patterns, and noncommunicable disease in Asian Indians. The American journal of clinical nutrition. 2014;100(suppl_1):359S-64S.

39. Dixit AA, Azar KM, Gardner CD, Palaniappan LP. Incorporation of whole, ancient grains into a modern Asian Indian diet to reduce the burden of chronic disease. Nutrition reviews. 2011;69(8):479-88.

40. Misra A, Singhal N, Sivakumar B, Bhagat N, Jaiswal A, Khurana L. Nutrition transition in India: Secular trends in dietary intake and their relationship to diet-related non-communicable diseases. Journal of diabetes. 2011;3(4):278-92.

41. Sheinman N, Hadar LL, Gafni D, Milman M. Preliminary investigation of whole-school mindfulness in education programs and children’s mindfulness-based coping strategies. Journal of Child and Family Studies. 2018;27(10):3316-28.

42. Guerra J, García-Gómez M, Turanzas J, Cordón JR, Suárez-Jurado C, Mestre JM. A brief Spanish Version of the Child and Adolescent Mindfulness Measure (CAMM). A dispositional mindfulness measure. International journal of environmental research and public health. 2019;16(8):1355.

43. Brown V, Ananthapavan J, Sonntag D, Tan EJ, Hayes A, Moodie M. The potential for long-term cost-effectiveness of obesity prevention interventions in the early years of life. Pediatric obesity. 2019;14(8):e12517.

44. Adolescent Health: World Health Organization; 2020. Available from: https://www.who.int/healthtopics/adolescent-health/.

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