Introduction
The
rising burden of non-communicable diseases (NCDs)
and associated health and socio-economic
consequences present an overwhelming challenge and
risk to health systems and economies worldwide,
especially in low-middle income countries like
India. In order to equip the health system to be
able to address the increasing levels of NCDs,
strategies for preventive measures aiming at early
intervention points in the disease pathogenesis
need to be explored and implemented. Studies have
shown that this process starts from childhood
itself and is influenced to a large extent by
unhealthy lifestyle practices (1,2). The
modifiable risk factors for the majority of the
NCDs like unhealthy diet, physical inactivity,
alcohol and tobacco abuse have been on the rise
among the various sections of the population,
leading to physiological risks like overweight and
obesity, elevated blood pressure, dyslipidemia
etc. resulting in full-fledged NCDs even among
youth (3–7). Unhealthy lifestyles need to be
intervened at early in life before they turn into
life-long habits. It is in this background that,
NCD prevention strategies in children and
adolescents gain importance. The lifestyle and
habits of persons are greatly influenced by
social, economic, and cultural factors, which
often vary between different age groups, genders,
geographical locations, socio-economic strata,
popular culture etc. It is important to understand
these variances in order to create and implement
effective behavioural change communication
strategies for prevention of diseases like NCDs.
However, comprehensive NCD risk factor studies
among middle-late adolescent population in India,
who are about to enter adulthood have been rare.
Therefore, we aimed to assess the Non-Communicable
Disease risk factors among the adolescents in the
present study.
Materials and Methods
This was a
cross-sectional study, conducted in 15 selected
Government/Government-aided Higher Secondary
Schools in Thiruvananthapuram district in Kerala.
For the study, 1852 class eleven students were
recruited through a multi-stage cluster sampling.
Five schools each were selected from the three
educational sub-districts in Thiruvananthapuram
district, and students belonging to the randomly
selected divisions among the Higher Secondary
study streams in the selected schools were
included in the study. The required minimum sample
size was 1692, calculated using an expected
prevalence of 7.98% of hypertension with 95
percent confidence interval which was obtained
from a school-based study conducted in
Thiruvananthapuram district, Kerala, with a
precision of 2% and design effect of two, and a
non-response rate of 20% (8).
All children who
were present on the date of assessment, in the
selected divisions, and whose parents gave consent
to the participation were included in the study
after obtaining the assent of each student.
Students who had learning and intellectual
disabilities were excluded.
The study assessed
the behavioural, psychosocial as well as
physiological risk factors for NCDs among the
students, which included the food habits, physical
activity levels, screen use, substance abuse, and
perceived stress levels of the students, along
with anthropometric measurement to record Body
Mass Index (BMI), Blood Pressure (BP) examination,
and neck examination for Acanthosis nigricans.
Study Tools
The
socio-demographic details, dietary habits,
physical activity profile, substance abuse
profile, and perceived stress levels of the
students were assessed using a structured,
pre-validated questionnaire in the local language.
Anthropometric measurements and Blood Pressure
readings were also taken, by trained medical
professional. Weight in Kilograms (Kgs) corrected
to the nearest 0.01 Kg, and height in centimetres
were recorded using a digital weighing scale, and
a portable stadiometer respectively, which were
calibrated for use. BP was measured after the
child rests for at least 5 minutes in a sitting
position, using standardized, calibrated mercury
sphygmomanometers, using auscultatory method in
the right arm, using an appropriately sized cuff
selected based on expert recommendations. Two
separate readings were taken for each student at a
ten-minute interval. BP classifications were made
based on the latest American Academy of Pediatrics
(AAP) guidelines. The average of two readings were
taken as the final reading. Weight and height were
converted to metric measurements in order to
determine the Body Mass Index, represented as
weight (kg) divided by the square of height (m2)
and classified based on the Indian Academy of
Pediatrics’ (IAP) Standardized BMI chart for
Indian children, ‘Extended International Obesity
Task Force (IOTF)’ measurement(9). A ten item
Perceived Stress Scale, developed by Cohen et al,
was used to measure the stress levels(10). A
neck-grading of Acanthosis nigricans was also done
for each student, based on the Burke et al
grading.
Statistical
Analysis
All statistical
analyses were performed using the Statistical
Package for Social Sciences (SPSS, IBM, Chicago,
IL, USA software 26.0) including percentages,
frequency analysis, chi-square tests, and
regression analysis. A statistical significance
level was established at (p < 0.05).
Ethical
Considerations
The study was
carried out with the approval of the Institutional
ethics committee. Participants were recruited only
after obtaining informed consent from the
guardian, as well as assent of the participants.
Confidentiality and privacy of participants were
maintained.
Results
A total of 1852
students were selected from the 15 schools. Girls
constituted the majority of the participants
(65.8%), and 76.1% were from rural backgrounds.
The median age of the participants was 16 years.
[Table 1]
Table 1: Socio-demographic
Profile of the Study Participants
|
Characteristic
|
Categories
|
N (%)
|
Gender
|
Male
|
632(34.2%)
|
Female
|
1218(65.8%)
|
Academic Stream
|
Science
|
981(53%)
|
Humanities
|
471(25.4%)
|
Commerce
|
400(21.6%)
|
Socio-economic Background
|
Below Poverty Line
|
869(47.1%)
|
Above Poverty Line
|
975(52.9%)
|
Place of Residence
|
Rural
|
1407 (76.1%)
|
Urban
|
442 (23.9%)
|
Undesirable
Food habits
Consumption of junk
foods was highly frequent among the students, with
61% reporting consumption of oil-fried snacks on
three or more days a week, and 53.5% consuming
sugary snacks on three or more days a week. Around
12% of the students reported consuming Sugar
Sweetened Beverages (SSBs) or Carbonated drinks on
three days a week or more frequently. Consumption
of sugary snacks was significantly higher in
students belonging to rural backgrounds. Boys
showed significantly more frequent consumption of
SSBs and carbonated drinks than girls (p
<.001)). [Table 4] Fruit and vegetable
consumption was low. Among the students, 54.4%
reported fruit consumption on two days a week or
less frequently, while the daily self-reported
consumption was less than a handful in 72%. Fruit
consumption was significantly less frequent among
girl students from rural backgrounds as well as
those belonging to lower socioeconomic status.
Consumption of green leafy vegetables was very
low- less than once a week in 31.8% students and
was significantly low among girls (p<.001).
Self-reported daily consumption of vegetables was
less than a handful in 56.6% students, which was
significantly low among students from economically
backward families [Tables 2, 4]
Consumption of more
than 6 teaspoons of added sugar per glass of daily
beverage like milk, coffee, or tea was reported by
7.6% of the students, while 2.6% reported
frequently adding salt to their food before
eating. Added sugar consumption was higher among
students from higher economic backgrounds while
salt consumption was higher among boys and
economically backward students. [Tables 2, 4]
Table 2: Behavioural Risk factors
|
Characteristic
|
Male
|
Female
|
BPL
|
APL
|
Rural
|
Urban
|
Sugary snacks on ≥3days/ week
|
393 (62.58%)
|
726 (60.25%)
|
522 (60.70%)
|
595 (61.59%)
|
875 (62.81%)
|
244 (55.58%)
|
Fried snacks on ≥3days/ week
|
341 (54.13%)
|
639 (53.12%)
|
441 (51.34%)
|
534 (55.22%)
|
734 (52.65%)
|
246 (56.16%)
|
Aerated drinks & Sugar Sweetened
Beverages on ≥3days/ week
|
140 (22.12%)
|
82 (6.80%)
|
106 (12.28%)
|
115 (11.87%)
|
174 (12.44%)
|
48 (10.93%)
|
Fruit consumption less than thrice a week
|
334 (53%)
|
666 (55.1%)
|
495 (57.6%)
|
499 (51.3%)
|
774 (55.4%)
|
225 (51.1%)
|
Green leafy vegetables - less than once a
week
|
161 (25.6%)
|
421 (35.1%)
|
270 (31.4%)
|
310 (32.2%)
|
430 (35.9%)
|
151 (34.4%)
|
Fruit consumption less than a handful a
day
|
436 (68.77%)
|
895 (73.48%)
|
653 (75.14%)
|
672 (68.92%)
|
1029 (73.13%)
|
300 (67.87%)
|
Vegetable consumption less than a handful
a day
|
369 (58.20%)
|
679 (55.75%)
|
524 (60.30%)
|
520 (53.33%)
|
801 (56.93%)
|
245 (55.43%)
|
Habit of consuming salty foods
|
197 (31.07%)
|
419 (34.40%)
|
296 (34.06%)
|
316 (32.41%)
|
467 (33.19%)
|
148 (33.48%)
|
Uses ≥6 teaspoon sugar per glass of daily
beverage
|
54 (8.52%)
|
87 (7.14%)
|
55 (6.33%)
|
86 (8.82%)
|
110 (7.82%)
|
31 (7.01%)
|
Moderate-Vigorous Physical Activity on
< 3 days a week
|
305 (48.26%)
|
845 (69.83%)
|
527 (61.00%)
|
618 (63.65%)
|
875 (62.37%)
|
275 (62.79%)
|
Recreational Screen use ≥3 hours/day
|
309 (50.16%)
|
288 (24.04%)
|
279 (32.90%)
|
316 (32.92%)
|
468 (33.86%)
|
129 (29.86%)
|
Current smoking
|
21 (3.35%)
|
2 (0.17%)
|
9 (1.05%)
|
14 (1.45%)
|
23 (1.65%)
|
0 (0.00%)
|
Current abuse of smokeless tobacco
|
13 (2.06%)
|
0 (0.00%)
|
6 (0.7%)
|
7 (0.72%)
|
13 (0.93%)
|
0 (0.00%)
|
Physical
Inactivity
Around 62% of the
participants reported engaging in moderate or
vigorous physical activities less than three days
a week. Physical activity levels of girls were
significantly low (p<.001). [Tables 2,4] Nearly
33% of the students had a recreational screen time
of more than three hours a day. This was
significantly higher among boys (p<.001), with
more than 50% reporting high recreational screen
use.
Tobacco
abuse
Current habit of
smoking was reported by 1.3% of the students,
while current use of smokeless tobacco products
was reported by 0.7%. This was significantly
higher among boys and those from rural
backgrounds.
Perceived
Stress
High level of
Perceived Stress was reported by 6.4% of students.
Stress was found to be higher in girls.
Table 3: Psychosocial and
Physiological Risk Factors
|
Characteristic
|
Male
|
Female
|
BPL
|
APL
|
Rural
|
Urban
|
High level of Perceived Stress
|
30 (4.73%)
|
88 (7.22%)
|
61 (7.02%)
|
57 (5.85%)
|
89 (6.33%)
|
29 (6.56%)
|
Overweight
|
71 (11.27%)
|
191 (15.17%)
|
108 (12.5%)
|
154 (15.79%)
|
194 (13.83%)
|
68 (15.41%)
|
Obese
|
35 (5.56%)
|
84 (6.91%)
|
45 (5.21%)
|
74 (7.59%)
|
79 (5.63%)
|
40 (9.07%)
|
Grade 1 Hypertension
|
174 (27.44%)
|
266 (21.84%)
|
182 (20.94%)
|
258 (26.46%)
|
342 (24.31%)
|
98 (22.17%)
|
Grade 2 Hypertension
|
57 (8.99%)
|
96 (7.88%)
|
58 (6.67%)
|
95 (9.74%)
|
120 (8.53%)
|
33 (7.47%)
|
Hypertensive or Overweight
|
218 (34.60%)
|
352 (29.00%)
|
258 (29.90%)
|
312 (32.03%)
|
449 (32.05%)
|
121 (27.44%)
|
Hypertensive and Overweight
|
64 (10.16%)
|
146 (12.03%)
|
80 (9.27%)
|
130 (13.35%)
|
143 (10.21%)
|
67 (15.19%)
|
Acanthosis nigricans
|
113 (18.14%)
|
366 (30.27%)
|
212 (24.77%)
|
266 (27.45%)
|
350 (25.13%)
|
129 (29.52%)
|
Acanthosis grade 3 and above
|
16 (2.57%)
|
97 (8.02%)
|
47 (5.49%)
|
66 (6.81%)
|
81 (5.81%)
|
32 (7.32%)
|
Body Mass
Index
Anthropometric
measurements of only 1846 students could be taken
due to locomotor disabilities in six of the
students. Around 19% of the students were
overweight, while 6.4% were obese. Girls,
economically forward students and urban residents
had significantly higher levels of overweight than
their respective counterparts. Obesity was higher
among economically forward and urban students.
Blood
Pressure
Around 24.7% of the
students had Grade I Hypertension, and 8.3% had
Grade II Hypertension as per the latest AHA
guidelines. Boys and economically forward students
had significantly higher levels of Grade I
Hypertension. Grade II Hypertension was
significantly higher among economically forward
students. Nearly 31% of the students were either
overweight or hypertensive. About 11.4% were both
overweight and hypertensive.
Acanthosis
nigricans
Acanthosis nigricans
(neck) was found in 26% of the students. Around 6%
students had acanthosis neck severity Grade 3 and
above. This was significantly higher among girls
(p<.001).
Table 4: Gender differences of
Non-Communicable disease risk factors
|
Characteristic
|
Category
|
Male
|
Female
|
Significance
|
n (%)
|
n (%)
|
Aerated drinks and Sugar Sweetened
Beverages
|
0-2 days a week
|
493 (77.88%)
|
1124 (93.20%)
|
< 0.001
|
Three or more days a week
|
140 (22.12%)
|
82 (6.80%)
|
Fruit consumption on a typical day
|
Less than a handful a day
|
436 (68.77%)
|
895 (73.48%)
|
< 0.05
|
One or more handful a day
|
198 (31.23%)
|
323 (26.52%)
|
Green leafy vegetables
|
0-2 days a week
|
161 (25.60%)
|
421 (35.05%)
|
< 0.001
|
Three or more days a week
|
468 (74.40%)
|
780 (64.95%)
|
Often/Always
|
24 (3.79%)
|
24 (1.97%)
|
Vigorous or moderate intensity physical
activity
|
0-2 days a week
|
305 (48.26%)
|
845 (69.83%)
|
< 0.001
|
Three or more days a week
|
327 (51.74%)
|
365 (30.17%)
|
Recreational Screen use
|
0-3 hours a day
|
307 (49.84%)
|
910 (75.96%)
|
< 0.001
|
More than 3 hours a day
|
309 (50.16%)
|
288 (24.04%)
|
Current habit of smoking
|
No
|
606 (96.65%)
|
1202 (99.83%)
|
< 0.001
|
Yes
|
21 (3.35%)
|
2 (0.17%)
|
Current use of smokeless tobacco
|
No
|
617 (97.94%)
|
1210 (100.00%)
|
< 0.001
|
Yes
|
13 (2.06%)
|
0 (0.00%)
|
Perceived Stress
|
Low-moderate
|
604 (95.27%)
|
1130 (92.78%)
|
< 0.05
|
High
|
30 (4.73%)
|
88 (7.22%)
|
Body Mass Index
|
Not overweight
|
524 (83.17%)
|
941 (77.38%)
|
< 0.05
|
overweight
|
106 (16.83%)
|
275 (22.62%)
|
Blood Pressure
|
Normal
|
460 (72.56%)
|
952 (78.16%)
|
< 0.05
|
Hypertension
|
174 (27.44%)
|
266 (21.84%)
|
Acanthosis nigricans (neck)
|
Absent
|
510 (81.86%)
|
843 (69.73%)
|
< 0.001
|
Present
|
113 (18.14%)
|
366 (30.27%)
|
Discussion
The study explored
the behavioral, psychosocial, and physiological
risk factors for NCDs among mid-late adolescents.
Consumption of calorie-dense snacks was highly
prevalent among the students. More than 53% of the
adolescents reported consuming fried foods three
or more days a week, similar to a 2016 Centre for
Science and Environmental studies (CSE) survey
among children aged 9-17 years from 300 schools
across the country (11). Frequent consumption
(greater than two times a week) of fast foods and
junk foods have been found to be associated with
higher BMIs in children (12,13). Sugar sweetened
beverages increase the daily sugar intake, and
their frequent consumption has been found to be
associated with obesity, and dental caries in
children (12). Also, added sugar in daily
beverages was found to be six teaspoons or more in
7.6% of the students, while this was three
teaspoons or more in 67% of them. While this seems
moderate level of consumption while taken
individually, the complete picture is alarming,
with more than 65% of students who took three or
more teaspoons of added sugar in their daily
beverages also consumed sweet snacks three or more
days a week, raising concern on the daily added
sugar intake by the adolescents, which can easily
exceed the advisable six-teaspoon limit. (14).
Similar was the case with adding salt to food at
the table, with those who add salt to food at the
table occasionally or more frequently having
higher consumption of salty foods like pickles,
pappad etc. along with very low consumption of
vegetables. The IAP has recommended limiting the
consumption of junk foods, ultra-processed foods,
nutritionally inappropriate foods,
carbonated/caffeinated/coloured beverages, and
sugar sweetened beverages (JUNCS) by children and
adolescents to not more than one serving per
week(12). The availability of such food items
needs to be restricted and healthier, locally made
alternative snacks need to be made available in
and around school campuses. Also, community level
awareness generation, especially of parents is
very essential to limit such unhealthy food
habits.
Fruit and vegetable
consumption was inadequate in terms of frequency
and quantity. The recommended daily intake of
fruits and vegetables is 350-400 grams a day (15).
Inadequate consumption of fruits and vegetables
have been linked to various health problems like
NCDs, including cancers of the gastro-intestinal
tract, and consumption of two or more servings of
vegetables, and fruits have been shown to reduce
NCD risk including improvement in blood parameters
like cholesterol levels (15–18). In the present
study, fruit consumption was less but vegetable
consumption was higher among rural residents
compared to their urban counterparts. Similar
results have been shown in household surveys in
India(19). Economically forward students had
significantly higher fruit and vegetable
consumption than their counterparts, pointing
towards the economic accessibility factor. The
results show that measures to promote fruit and
vegetable consumption among adolescents need to be
implemented, with emphasis on awareness
generation, and strategies to improve availability
of such healthy foods instead of undesirable food
choices in schools.
Physical inactivity
was significantly higher in girls. Boys reported
significantly higher amounts of moderate and
vigorous physical activities, whereas
significantly more girls engaged in household
chores involving low-moderate physical exertion.
Students from BPL families reported better
engagement in vigorous physical activity, and
household physical activity than their APL
counterparts. This was also reflected in their
BMIs, as girls and APL students had significantly
higher levels of overweight and obesity than their
respective counterparts. This resonates with
several other studies conducted in children and
adults in the country. (20–22). In the present
study, screen use was higher than that of younger
school-going adolescents in the state, (23) while
it was lower than that in urban settlements in
metro cities of India (24).
Stress levels were
moderate to high in more than three-quarters of
the study group. Comparable levels of stress have
been reported in studies among adolescents in
Kerala and other parts of India (25–27). Female
students were found to be highly stressed which
was comparable to previous studies.(26). Unlike
other studies, socioeconomic status was not
associated with higher stress levels in the
present study (25). Prevalence of smoking and
smokeless tobacco use was comparable to studies in
younger adolescents, while lower than that of
youth ( 28,29).
The prevalence of
hypertension and overweight conditions was
comparable to that of the levels in young adult
and older population from the National Family
Health Survey-5, with nearly a third of the
adolescents, and a fourth of them having high
blood pressure and BMI(30). Girls, students
belonging to higher socio-economic classes tended
to have higher levels of obesity and lower levels
of physical activity. Other studies have also
reported higher prevalence of obesity in girls,
those with low physical activity, and higher
income families (31–33). The Acanthosis levels in
the present study was higher when compared to the
16% prevalence in a recent South Indian study
(34). Acanthosis Grade 3 and above was found in
more than 6% of the students, and these children
have a high risk for non-communicable diseases
like Diabetes, and fatal Cardiovascular
complications, unless appropriate preventive
measures are taken.
The present study
used self-reported diet, physical activity, screen
and substance abuse habits among the students to
assess behavioural risk factors, but each question
was read out with uniform explanations for
limiting bias. Food consumption in the previous
normal week from the day of data collection was
advised for consideration on reporting the
frequency of intake of different food groups to
limit recall bias. The study did not include
biochemical parameters to ascertain the NCD risk
in students, but the high levels of hypertension,
overweight and Acanthosis nigricans indicate a
need for such parameters in future research.
The higher levels of
physiological risk factors indicate that a
significantly large number of non-communicable
diseases will contribute to the NCD burden in the
state in the near future, unless appropriate
interventions are taken. NCD preventive measures,
including active screening of adolescents need to
be implemented at the school levels for timely
identification and intervention to prevent and
limit the morbidity, premature mortality and
socioeconomic consequences of NCD’s.
Conclusion
The study results
show that a major proportion of middle-late
adolescents have behavioural, and physiological
risk factors for NCD’s, warranting strong
preventive measures to be adopted at school level
itself. Strategies aimed at awareness generation,
increasing availability of and accessibility to
healthy food and physical activity habits, as well
as regular anthropometric and blood pressure
screenings with follow up provisions in the
schools need to be implemented.
Conflicting Interests:
The authors declare no potential conflicts of
interest.
Funding sources:
This research did not receive any funds from
funding agencies in the public or commercial
sectors.
Acknowledgements:
The researchers acknowledge the Directorate of
Higher Secondary Education, Kerala for the support
provided in conducting and coordinating the study.
References
- Tuzcu EM, Kapadia SR, Tutar E, et al.
High Prevalence of Coronary Atherosclerosis in
Asymptomatic Teenagers and Young Adults. Circulation
2001;103:2705–2710.
- Strong JP, Malcom GT, McMahan CA, et al.
Prevalence and Extent of Atherosclerosis in
Adolescents and Young Adults Implications for
Prevention From the Pathobiological Determinants
of Atherosclerosis in Youth Study. JAMA
1999;281:727–735.
- Guthold R, Stevens GA, Riley LM, et al. Global
trends in insufficient physical activity among
adolescents: a pooled analysis of 298
population-based surveys with 1·6 million
participants. Lancet Child Adolesc Health
2020;4:23–35.
- Haokip N, Sharma S. Trends in fast food
consumption among adolescents in Ludhiana
(Punjab). FOOD Sci Res J
.2016;7:276–280.
- Latimer W, Zur J. Epidemiologic Trends of
Adolescent Use of Alcohol, Tobacco, and Other
Drugs. Child Adolesc Psychiatr Clin N Am
2010;19:451–464.
- Cosma A, Stevens G, Martin G, et al.
Cross-National Time Trends in Adolescent Mental
Well-Being From 2002 to 2018 and the Explanatory
Role of Schoolwork Pressure. J Adolesc
Health 2020;66:S50–S58.
- Biswas T, Townsend N, Huda MM, et al.
Prevalence of multiple non-communicable diseases
risk factors among adolescents in 140 countries:
A population-based study. EClinical
Medicine 2022;52:101591.
- George B, Scarai ML, Ahamed ZM et al.
Hypertension Among Adolescent School Children
Aged 15–18 Years In An Urban Government School,
Kerala. Indian Journal of Applied Research.
2018;8(5)
- Vaman K, Sangeeta Y, Aggrawal K, et al.
Revised IAP Growth Charts for Height, Weight and
Body Mass Index for 5- to 18-year-old Indian
Children. Indian Pediatr
2015;52:47–55.
- Cohen S, Kamarck T, Mermelstein R. A global
measure of perceived stress. J Health Soc
Behav 1983;24:385–396.
- Bhushan C, Taneja S KA. Burden of Packaged
Food on Schoolchildren: Based on the CSE survey
‘Know Your Diet’ 2017. Available at: https://cdn.cseindia.org/attachments/0.37055100_1520598445_burden-packaged-food-school-children.pdf.
Accessed May 29 2024
- Gupta P, Shah D, Kumar P, et al.
Indian Academy of Pediatrics Guidelines on the
Fast and Junk Foods, Sugar Sweetened Beverages,
Fruit Juices, and Energy Drinks. Indian
Pediatr 2019;56:849–863.
- Khan MI, K L, Patil R, et al. A Study Of The
Risk Factors And The Prevalence Of Hypertension
In The Adolescent School Boys Of Ahmedabad City.
J Clin Diagn Res Ser Online. 2010;4:3348–3354.
- Vos MB, Kaar JL, Welsh JA, et al. Added Sugars
and Cardiovascular Disease Risk in Children: A
Scientific Statement From the American Heart
Association. Circulation
2017;135:e1017–e1034.
- WHO. Increasing fruit and vegetable
consumption to reduce the risk of
noncommunicable diseases. e-Library of Evidence
for Nutrition Actions (eLENA). E-Libr. Evid.
Nutr. Actions ELENA. 2023. Available at: https://www.who.int/tools/elena/interventions/fruit-vegetables-ncds.
Accessed May 30 2024
- Miller V, Mente A, Dehghan M, et al.
Fruit, vegetable, and legume intake, and
cardiovascular disease and deaths in 18
countries (PURE): a prospective cohort study. The
Lancet 2017;390:2037–2049.
- Aune D, Giovannucci E, Boffetta P, et al.
Fruit and vegetable intake and the risk of
cardiovascular disease, total cancer and
all-cause mortality-a systematic review and
dose-response meta-analysis of prospective
studies. Int J Epidemiol
2017;46:1029–1056.
- Yuan C, Lee H-J, Shin HJ, et al. Fruit and
vegetable consumption and hypertriglyceridemia:
Korean National Health and Nutrition Examination
Surveys (KNHANES) 2007-2009. Eur J Clin
Nutr 2015;69:1193–1199.
- National Sample Survey Office. Household
Consumer Expenditure, NSS 68th Round Sch1.0 Type
1: July 2011—June 2012. Available at http://www.icssrdataservice.in/datarepository/index.php/catalog/91.
Accessed June 10 2024
- Anjana RM, Pradeepa R, Das AK, et al. Physical
activity and inactivity patterns in India -
results from the ICMR-INDIAB study (Phase-1)
[ICMR-INDIAB-5]. Int J Behav Nutr Phys Act
2014;11:26.
- John M, Naha NK, Cherian VJ. Physical
activity, sedentary behaviours and eating habits
among school children in Kerala. Pediatr
Rev Int J Pediatr Res 2016;3(3).
- Balan S. A study on the eating habits of
adolescents in Thiruvananthapuram City , Kerala.
Int J Home Sci. 2016;2:287–290.
- Ramya KR. Screen Time Behaviours among School
going Adolescents Residing in a Selected
District , Kerala. International Journal of
Pediatric Nursing. 2018;4(2)
- Dubey M, Nongkynrih B, Gupta SK, et al.
Screen-based media use and screen time
assessment among adolescents residing in an
Urban Resettlement Colony in New Delhi, India. J
Fam Med Prim Care 2018;7:1236–1242.
- Rentala S, Nayak RB, Patil SD, et al. Academic
stress among Indian adolescent girls. J
Educ Health Promot 2019;8:158.
- Bhaskar K, Watode, Kishore J, et al.
Prevalence of Stress among School Adolescents in
Delhi. Indian J Youth Adolesc Health
2015;2:4–9.
- Ragesh G, Sabitha C, Anithakumari A, Hamza A.
Perceived Stress and Coping among Rural
Adolescent Girls in India. Int J Indian
Psychol 2015;2:170–173.
- Grover S, Anand T, Kishore J, et al. Tobacco
use among the youth in India: Evidence from
Global Adult Tobacco Survey-2 (2016-2017). Tob
Use Insights 2020;13:1179173X2092739.
- Jaisoorya TS, Beena K V, Beena M, et al.
Prevalence & correlates of tobacco use among
adolescents in Kerala, India. Indian J Med
Res 2016;144:704–711.
- People's Archive of Rural India. National
Family Health Survey (NFHS-5) 2019-21: Kerala.
Available at: https://ruralindiaonline.org/bn/library/resource/national-family-health-survey-nfhs-5-2019-21-kerala/.
Accessed June 10 2024
- Cherian AT, Cherian SS, Subbiah S. Prevalence
of Obesity and Overweight in Urban School
Children in Kerala, India. Indian Pediatr
2020;49:475–477.
- Jacob JK, Jacob SK, George SB. Prevalence of
Overweight and Obesity in Adolescent Children: A
Cross Sectional Study. Int J Sci Stud
2016;4(6):50-54.
- Prasad R, Bazroy J, Singh Z. Prevalence of
overweight and obesity among adolescent students
in Pondicherry, South India. Int J Nutr
Pharmacol Neurol Dis 2016;6:72–75.
- Menon VU, Kumar KV, Gilchrist A, et al.
Acanthosis Nigricans and insulin levels in a
south Indian population-(ADEPS paper 2). Obes
Res Clin Pract. 2008;2(1):I-II.
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