Literature DB >> 34084818

Effect of Information, Education, and Communication activity on health literacy of cardiovascular diseases among school-going adolescents in Delhi.

Srishti Yadav1, Anita Khokhar1.   

Abstract

BACKGROUND: Heart attack and stroke account for >80% of deaths due to cardio-vascular diseases (CVDs) in India. Adolescents are the most susceptible group to adopt risky behaviors causing CVDs such as use of tobacco and alcohol, sedentary lifestyle, and unhealthy diet. This study was conducted to assess the health literacy of CVDs such as heart attack and stroke among school-going adolescents and change in health literacy after different information, education, and communication (IEC) activities.
MATERIALS AND METHODS: It was a school-based interventional study conducted in two schools among students of classes 6, 7, and 8. The educational interventions were done in the form of pamphlets, posters, and lectures on heart attack and stroke. The postintervention data were collected 2 weeks after the first intervention and 3 months after the last intervention.
RESULTS: There were a higher proportion of students with satisfactory level of knowledge of heart attack and stroke both at 2 weeks and 3 months after the interventions in both the schools, and the results were statistically significant (P < 0.05).
CONCLUSION: The health literacy regarding CVDs has improved when compared to baseline after IEC activities among school-going adolescents. Copyright:
© 2021 Journal of Education and Health Promotion.

Entities:  

Keywords:  Adolescents; education and communication; health literacy; heart attack; information; stroke

Year:  2021        PMID: 34084818      PMCID: PMC8057185          DOI: 10.4103/jehp.jehp_756_19

Source DB:  PubMed          Journal:  J Educ Health Promot        ISSN: 2277-9531


Introduction

Cardiovascular diseases (CVDs) are the number one cause of death globally. An estimated 17.9 million people died from CVDs in 2016, representing 31% of all global deaths. Almost four out of five CVD deaths are due to heart attacks and strokes.[1] Risk factors and risk behaviors that increase the risk of CVDs begin in adolescence and the persistence of these factors worsen CVD risk later in life.[2] Many CVD risk factors surface in adolescence[3] and track forward to adulthood;[4] interventions should be started at an early age as it takes time for healthy practices to blend into behavior. With this emphasis, adolescents should be made health literate at an early age so that the emergence of risk factors and risky behaviors may be prevented. According to the World Health Organization (WHO), health literacy is defined as the cognitive and social skills which determine the motivation and ability of individuals to gain access to understand and use information in ways which promote and maintain good health. It is more than simply being able to read pamphlets, make appointments, understand food labels, or comply with prescribed action from a doctor.[5] School is a key location for educating children about health and for putting in place the interventions to promote the health of children.[6] An adequately health literate individual can communicate with health professionals; understand and use the health materials (in a variety of formats) that they need to stay healthy; and apply health-related knowledge to health care and decision-making so that they are able to make healthy choices.[7] There have been many studies conducted to assess the awareness of CVDs among school-going adolescents, but only a few studies are there in which the effect of educational interventions on health literacy of CVDs among school-going adolescents has been assessed. Hence, this study was conducted to assess the health literacy of CVDs among school-going adolescents and to assess the effect of different information, education, and communication (IEC) activities on health literacy of CVDs (heart attack and stroke) among school-going adolescents.

Materials and Methods

A school-based, interventional study was conducted in 2016 in Najafgarh (New Delhi). From the total of 13 schools in Najafgarh area, two schools were selected by simple random sampling Students of classes 6, 7, and 8 from both the schools were included in the study. The sample size was calculated based on the study conducted by George et al. in 2014 in two government and one private school in central Delhi, in which it was found that 34.6% (the least, P1) of the students had the knowledge that by exercising for at least 1 h a day, CVDs can be prevented.[8] In the present study, the knowledge was expected to increase to up to 60% (P2) after the intervention. Taking an alpha error (α) and a beta error (β) of 5% and 20%, respectively, the sample size was calculated using the following formula: where z1– (α/2) = 1.96, P1= 0.34, P2= 0.60, Pm= P1+ P2/2 = 47.3% (0.473) with n = 51, design effect = 2, loss to follow-up or nonresponse of up to 10%, the sample size came out to be 120. There were four to five sections each of classes 6, 7, and 8. Thus, one section each of classes 6, 7, and 8 was selected by simple random sampling. There were varied number of students in these sections, so all students studying in these selected sections, who were present during the study, were included in the study. Thus, a total of 120 students from classes 6, 7, and 8 from each school were enrolled. A pretested, semi-structured, self-administered questionnaire based on the materials to be used for intervention was used for baseline and postintervention data. The questions were based on the IEC material adapted from the WHO and Central Health Education Bureau (CHEB). The outcome of the study was change in awareness of students as compared to baseline at 2 weeks and 3 months after repeated educational intervention. The students were categorized as having satisfactory and unsatisfactory knowledge of CVDs (cutoff score was 50%) The questionnaire comprised questions related to demographic information; general awareness of CVDs; knowledge of risk factors; and symptoms, preventive, and treatment measures of heart attack and stroke. It measures the knowledge of students regarding CVDs at baseline and 2 weeks after the first intervention and 3 months after the last intervention to measure both immediate and long-term memory. The response options were yes/no/don't know. Some questions were open ended also. Each right answer was awarded score 1 and wrong answer as 0. No response was considered as incorrect response and scored 0. The responses were scored and categorized as unsatisfactory (<50%) and satisfactory (>50%) knowledge. The maximum score of questions of heart attack and stroke was 16 and the minimum score was 0. The intervention was given in the form of IEC activity with the help of posters and pamphlets taken from the WHO office and CHEB for school 1 and lecture from the same reference material was prepared in PowerPoint presentation for school 2. After the baseline evaluation in the month of June in both the schools, the intervention was done in the next visit in the month of July by giving the pamphlets to the students and displaying posters in their classes and common areas. The postintervention data were obtained after 2 weeks from both the schools by administering the same questionnaire. Subsequently, the respective interventions were repeated two more times, monthly among the students of both the schools in August and September for reinforcing the knowledge. Thus, the interventions were given a total of three times in the span of 3 months and postintervention data were also obtained at 3 months from the last intervention, i.e., in January. Thus, postintervention data were obtained two times – first at 2 weeks after the first intervention and the other after 3 months from the last intervention.

Ethical considerations

Approval from the Institutional Ethical Committee of VMMC and Safdarjung Hospital (S. No. IEC/VMMC/SJH/Thesis/October-2015, dated October 30, 2015) was obtained prior to the study. Permission from the Deputy Directorate of Education, South-West Delhi, and consent of the school principals were taken after explaining the objectives and methods of the study. Assent from the study participants and consent from the parents of the study participants were taken. Privacy of the study participants and the confidentiality of the information obtained were maintained. The participants were explained prior to inclusion that they had rights to withdraw at any time during the study.

Data analysis

Data analysis was done using Statistical Package for Social Sciences (SPSS) software for windows version 17.0. Released 2008 (SPSS Inc., Chicago, IL). All the values were analyzed by using descriptive statistics to calculate frequencies, mean, range, and standard deviation. Chi-square test was applied to compare the proportion of scores (satisfactory and unsatisfactory) at baseline, 2 weeks, and 3 months, and P < 0.05 was considered statistically significant.

Results

There were a total of 120 students each in both the schools. The mean age of students of both the schools was 12.2 years. Majority of the students of both the schools belonged to nuclear family and socioeconomic class IV according to the Modified BG Prasad scale, 2017. Majority of the students' parents were educated till primary, as shown in Table 1.
Table 1

Distribution of the study participants according to sociodemographic characteristics

Demographic variablesSchool 1 (n=120), n (%)School 2 (n=120), n (%)
Age (years)
 Mean12.2±1.212.2±0.9
 Range6 (10–16)6 (10–16)
Sex
 Boys32 (26.7)66 (55.0)
 Girls88 (73.3)54 (45.0)
Religion
 Hinduism111 (92.5)115 (95.8)
 Others9 (07.5)5 (04.2)
Class
 6th25 (20.8)32 (26.7)
 7th30 (25.0)42 (35.0)
 8th65 (54.2)46 (38.3)
Type of family
 Nuclear82 (68.3)65 (54.2)
 Joint38 (31.7)55 (45.8)
SES*
 I3 (02.5)12 (10.0)
 II13 (10.8)21 (17.5)
 III30 (25.0)31 (25.8)
 IV55 (45.9)36 (30.0)
 V19 (15.8)20 (16.7)
Father’s education
 Illiterate13 (10.8)4 (03.3)
 Primary39 (32.5)12 (10.0)
 Middle22 (18.4)40 (33.3)
 High24 (20.0)22 (18.3)
 Senior secondary13 (10.8)24 (20.0)
 Graduate8 (06.7)17 (14.3)
 Postgraduate1 (0.8)1 (0.8)
Mother’s education
 Illiterate37 (30.9)12 (10.0)
 Primary44 (36.7)27 (22.5)
 Middle17 (14.1)33 (27.5)
 High18 (15.0)20 (16.7)
 Senior secondary4 (03.3)16 (13.3)
 Graduate0 (0)12 (10.0)
 Postgraduate0 (0)0 (0.0)
Parents’ employment status
 Gainfully employed120100)120 (100)
 Unemployed0 (0)0 (0)

*Socioeconomic class according to the Modified BG Prasad Scale, 2017. SES=Socioeconomic status

Distribution of the study participants according to sociodemographic characteristics *Socioeconomic class according to the Modified BG Prasad Scale, 2017. SES=Socioeconomic status From school 1, majority of the students knew that stress was the risk factor of heart attack, whereas in school 2, majority of the students knew that smoking was the risk factor of heart attack. The least known risk factor of heart attack in school 1 was physical inactivity and in school 2, family history of heart attack was the least known risk factor among students, as shown in Table 2.
Table 2

Distribution of the study participants according to the general awareness of cardiovascular diseases

General information School 1School 2
Heart attack
 Know what is heart attack62 (51.7)78 (65.0)
 Know that heart attack can be prevented82 (68.3)89 (74.2)
Stroke
 Know what is stroke8 (06.7)1 (0.8)
Distribution of the study participants according to the general awareness of cardiovascular diseases In school 1, chest pain was the maximally known symptom of heart attack and in school 2, difficulty in breathing was the maximally known symptom of heart attack. The least known symptom of heart attack known among students of both schools was shoulder pain. Similarly, from school 1, improper diet was the maximally known risk factor of stroke, whereas in school 2, hypertension (HTN), obesity, long work hours, and increased cholesterol were the maximally known risk factors of stroke. The least known risk factor of stroke in school 1 was lack of physical exercise and in school 2, the least known risk factor of stroke was stress and improper diet, as shown in Table 3.
Table 3

Distribution of the study participants of both the schools according to awareness of risk factors and symptoms of heart attack and stroke at baseline evaluation

ResponseSchool 1 (n=120)School 2 (n=120)


Yes, n (%)No, n (%)Don’t know, n (%)Yes, n (%)No, n (%)Don’t know, n (%)
Risk factors of heart attack

Increased blood cholesterol35 (29.2)20 (16.7)65 (54.1)62 (51.7)16 (13.3)42 (35.0)
Smoking42 (35.0)20 (16.7)58 (48.3)65 (54.2)24 (20.0)31 (25.8)
Diabetes31 (25.8)26 (21.7)63 (52.5)34 (28.3)40 (33.3)46 (38.4)
Weight gain21 (17.5)19 (15.8)80 (66.7)41 (34.5)41 (34.5)38 (31.7)
Stress43 (35.8)17 (14.2)60 (50.0)48 (40.0)21 (17.5)51 (42.5)
Family history of heart attack27 (22.5)28 (23.3)65 (54.2)18 (15.0)57 (47.5)45 (37.5)
Physical inactivity10 (08.4)31 (25.8)79 (65.8)30 (25.0)38 (31.7)52 (43.3)

Symptoms of heart attack

Chest pain69 (57.5)9 (7.5)42 (35.0)99 (82.5)7 (5.8)14 (11.7)
Sweating33 (27.5)32 (26.7)55 (45.8)49 (40.8)38 (31.7)33 (27.5)
nervousness61 (50.8)9 (7.5)50 (41.7)92 (76.6)14 (11.7)14 (11.7)
Difficulty in breathing65 (54.2)9 (7.5)46 (38.3)101 (84.1)5 (4.2)14 (11.7)
Shoulder pain13 (10.8)37 (30.8)70 (58.4)20 (16.7)58 (48.3)42 (35.0)
Unconsciousness43 (35.8)16 (13.3)61 (50.9)60 (50.0)37 (30.8)23 (19.2)

Risk factors of stroke

HTN6 (5.0)4 (3.3)110 (91.7)4 (3.3)3 (2.5)113 (94.2)
Smoking6 (5.0)3 (2.5)111 (92.5)2 (1.7)3 (2.5)115 (95.8)
Diabetes6 (5.0)3 (2.5)111 (92.5)3 (2.5)4 (3.3)113 (94.2)
Obesity9 (7.5)3 (2.5)108 (90.0)4 (3.3)1 (0.8)115 (95.9)
Stress9 (7.5)3 (02.5)108 (90.0)2 (1.7)0 (0)118 (98.3)
Lack of physical exercise4 (3.3)3 (2.5)113 (94.2)0 (0)1 (0.8)119 (99.2)
Long work hours09 (7.5)3 (2.5)108 (90.0)4 (3.3)0 (0)116 (96.7)
Improper diet11 (9.2)1 (0.8)108 (90.0)2 (1.7)0 (0)118 (98.3)
Increased cholesterol6 (5.0)2 (1.7)112 (93.3)4 (3.3)0 (0)116 (96.7)

*Multiple responses are possible. HTN=Hypertension

Distribution of the study participants of both the schools according to awareness of risk factors and symptoms of heart attack and stroke at baseline evaluation *Multiple responses are possible. HTN=Hypertension There was a higher proportion of students with satisfactory level of knowledge of heart attack and stroke after 2 weeks of intervention in both the schools, and the difference was statistically significant (P < 0.05), as shown in Table 4.
Table 4

Comparison between level of knowledge of heart attack and stroke at baseline and 2 weeks after intervention in schools 1 and 2

School 1Before intervention2 weeksSchool 2Before intervention2 weeks

Heart attack
Satisfactory12 (10.0)62 (55.9)Satisfactory74 (61.7)94 (81.7)
Unsatisfactory108 (90.0)49 (44.1)Unsatisfactory46 (38.3)21 (18.3)
Total120 (100)111 (100)Total120 (100)115 (100)
P<0.05P<0.05

Stroke

Satisfactory5 (4.2)37 (33.3)Satisfactory10 (08.3)60 (52.2)
Unsatisfactory115 (95.8)74 (67.7)Unsatisfactory110 (91.7)55 (47.8)
Total120 (100)111 (100)Total120 (100)115 (100)
P<0.05P<0.05
Comparison between level of knowledge of heart attack and stroke at baseline and 2 weeks after intervention in schools 1 and 2 There was a higher proportion of students with satisfactory level of knowledge of heart attack and stroke after 3 months of intervention in both the schools, and this difference was statistically significant (P < 0.05), as shown in Table 5.
Table 5

Comparison between level of knowledge of heart attack and stroke at baseline and 3 months after intervention in schools 1 and 2

School 1Before intervention3 monthsSchool 2Before intervention3 months

Heart attack
Satisfactory12 (10.0)58 (61.7)Satisfactory74 (61.7)79 (83.2)
Unsatisfactory108 (90.0)36 (38.3)Unsatisfactory46 (38.3)16 (16.8)
Total120 (100)94 (100)Total120 (100)95 (100)
P<0.05P<0.05

Stroke

Satisfactory5 (4.2)31 (33.0)Satisfactory10 (8.3)59 (62.1)
Unsatisfactory115 (95.8)63 (67.0)Unsatisfactory110 (91.7)36 (37.9)
Total120 (100) 94 (100)Total120 (100)95 (100)
P<0.05P<0.05
Comparison between level of knowledge of heart attack and stroke at baseline and 3 months after intervention in schools 1 and 2 There was a loss to follow-up in both the schools during the interventions. At 2 weeks, there was an attrition rate of 7.5% in school 1 and 4% in school 2 and at 3-month follow-up, there was an attrition of 21% in both the schools.

Discussion

Increasing trends of noncommunicable diseases (NCDs) is a worldwide phenomenon. Mortality, morbidity, and disability due to major NCDs account for about 60% of all deaths and 47% of the global burden of disease.[1] India is facing a dual burden of communicable diseases as well as NCDs. NCDs such as heart attack and stroke in adults have been related to the prevalence of risk factors in childhood.[9] Thus, it is also people with low health literacy use fewer preventive and health promotion services and make more use of accident and emergency services. Hence, there is a definite need to prevent the emergence of risk factors such as sedentary lifestyle, smoking, alcohol consumption; assess the health literacy regarding NCDs among adolescents; and plan interventional measures for the same. Limited health literacy is independently associated with unhealthy lifestyle behaviors such as smoking, alcohol consumption, insufficient exercise, and inadequate fruit and vegetable consumption – all of which are major risks for premature morbidity and mortality. Good childhood health literacy has also been found to be positively associated with healthier diet.[9] Adolescents are at a crucial stage of development characterized by many physical, emotional, and cognitive changes. They have advanced cognitive abilities and an improved capacity for processing information, can think more abstract ideas, and use reasoning skills. In our study, 68.3% of the students in school 1 and 74.2% of the students in school 2 knew that heart attack could be prevented. In another study conducted by Banerjee in Pune in 2007, a total of 42.6% of students were of the opinion that coronary heart disease (CHD) is preventable.[10] The difference may be due to different study settings. Similarly, in a study conducted by Divakaran et al. in 2013 in Pariyaram in Kannur district of Kerala, only 9.6% of the students felt that CVDs could be prevented.[11] The reason for this difference may be again the difference in the study settings. In another study conducted by Mane et al. in 2010 in Davangere, Karnataka, 73% of the students in government schools and 70% in private schools were aware that CVD could be prevented.[12] George et al. in a study conducted in 2012 in Delhi in both government and private schools observed that about 80% of the students knew that heart diseases are preventable,[8] and the results of these studies are comparable with those of our study. In our study, stress and smoking were the maximally known risk factors of heart attack, and lack of physical activity and family history of heart attack were the least known risk factors of heart attack. In a study conducted by Mane et al. in 2010 in students of classes 8–10 in a government school in Karnataka, they also found that stress was the maximally known risk factor of heart attack and physical inactivity was the least known risk factor of heart attack among the students,[12] which is similar to our study. Similarly, in another study conducted by Ramya et al. in 2014 in Thrissur, Kerala, they found that among students heavy alcohol consumption, smoking, and HTN were perceived as important top three risk factors for heart attack and diabetes was the least known risk factor of heart attack.[13] Yadav et al. in their study on school students in 2012 in Kathmandu, Nepal, observed that the maximally known risk factor of heart disease (92%) was tobacco chewing/smoking and old age was the least known risk factor (52.8%).[14] George et al. in 2012 in Delhi observed that the maximally known risk factor of heart diseases was stress for long periods as reported by 76% of students and the least known risk factor was family history of heart diseases as reported by 40% of students.[8] In our study, 10% of students in school 1 and 61.7% of students in school 2 had satisfactory knowledge (>50% score) about heart disease before the intervention. In a study conducted by Ramya et al. in 2014 in Kerala, the authors found that about 26% of students scored 50%–75% regarding the awareness of CHD and the mean percentage score was 44.3%.[13] This study has found lower awareness because of different study settings. In a study conducted by George et al. in 2012 in an urban area of Delhi, 79% of students had score >50% and 21% had inadequate knowledge scores (<50%).[8] The difference may be due to urban–rural variation in the knowledge of students. In a study conducted by Ade et al. in 2012 in Karnataka, 76.2% of the students had low awareness of NCDs (knew up to three risk factors), 23.5% of the students had medium awareness (knew up to 4–7 risk factors of NCDs), and only 3% had good knowledge (knew up to 8–11 risk factors of NCDs).[15] Similarly, in a study conducted by Divakaran et al. in 2013 in Kerala, 0.8% of the students had high score (>60% of maximum score) and 84.8% of the students had poor score (<30% of maximum score),[11] which is quite lower than the present study and may be due to the different study setting. In our study, the proportion of students with satisfactory level of knowledge of heart attack increased after 2 weeks as well as after 3 months of intervention in both school 1 and school 2, and the difference was statistically significant (P < 0.05). The results of the study conducted by Shah et al. in 2010 in three cities of North India (New Delhi, Jaipur, and Agra) were similar to those of our study where knowledge about CVDs increased from baseline to 6 months after the MARG (Medical education for children/adolescents for Realistic prevention of obesity and Diabetes and for healthy aGeing) intervention among children of age group 8–18 years.[16] In another interventional study conducted by Ray et al. in 2014, the mean score of knowledge of CVDs increased significantly at posttest done immediately after the educational intervention.[17] In our study, 14.2% of the students in school 1 and 9.2% of the students in school 2 had heard of stroke. In a study conducted by Thapa et al. in 2013 in Nepal, 71.1% of the students had heard or read about stroke.[18] The reason may be inclusion of high school students in their study. In a study conducted by Farooq et al. in 2012 among high school students of both government and private schools of Pakistan where information was elicited by interview method, 89% of the students had heard of stroke.[19] Our study found lower awareness among participants partly because of inclusion of only government schools in our study and also difference in the method of data collection. In our study, from school 1, majority of the students knew dietary factors as the risk factors, whereas from school 2, majority of the students knew smoking, HTN, and increased cholesterol as the risk factors of stroke. In the study conducted by Thapa et al. in Nepal, HTN was the most common risk factor identified among students.[18] In a study conducted by Obembe et al. in 2013 among students of Obafemi Awolwo University, Nigeria, HTN was the most commonly known stroke risk factor as reported by 83.2% of the students.[20] The current research has an interventional study design, which is its main strength. Two different interventions were done in the two arms of the study, which further adds to the strength of the study. Interventions were given a total of three times for the reinforcement of the knowledge in both the arms. The postintervention data were collected at two points of time, i.e., at 2 weeks and 3 months after the intervention. The study has scientific methodology of calculation of sample size and selectionof participants. There is a high adherence of study participants at pretest and 2 weeks of follow-up after the intervention. A 10% of the extra study participants were included in the study to account for the attrition. A pretested, predesigned, and validated questionnaire was used for the study. The IEC material was designed and prepared by the institutions of national repute and were also pretested. The study was conducted in only two government schools of Delhi and hence the results cannot be generalized to the students studying in other types of schools. Because it was a questionnaire-based study, recall bias leading to inaccurate or incomplete reporting by the students cannot be ruled out. Although the two schools selected were physically located at a distance from each other, a possibility of some contamination may not be ruled out. This study is among the few studies done in India among school-going adolescents in which health literacy (basic) of CVDs has been assessed and educational intervention has been done in two different forms in two schools to assess change in the awareness of students regarding CVDs as compared to baseline at two different times (at 2 weeks and 3 months) over a period of 4 months. The interventions were repeated two more times (total three times) at monthly intervals for reinforcement.

Conclusions and Recommendations

In this study, though most of the students have heard of CVDs like heart attack and stroke but they lack specific information regarding their risk factors, preventive and treatment measures. However, most of them do not know what is stroke. There has been a significant improvement in the knowledge of both heart attack and stroke among students of the schools after different forms of IEC activities. Thus, IEC in the form of posters, pamphlets, and lecture may help in improving school-going adolescents' knowledge regarding CVDs. In this study, only basic level of health literacy, i.e., knowledge has been assessed. The higher levels of health literacy, i.e., communicative and critical health literacy, also need to be assessed through further studies. Further research on whether improving health literacy is effective in changing the health behavior and decreasing the risk of disease among school-going adolescents needs to be done.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  10 in total

1.  Lifestyle riskfactors of noncommunicable diseases: awareness among school children.

Authors:  B Divakaran; J Muttapillymyalil; J Sreedharan; K Shalini
Journal:  Indian J Cancer       Date:  2010-07       Impact factor: 1.224

2.  Health literacy and adolescents: a framework and agenda for future research.

Authors:  Jennifer A Manganello
Journal:  Health Educ Res       Date:  2007-11-17

Review 3.  Tracking of cardiometabolic risk factor clustering from childhood to adulthood.

Authors:  Sarah M Camhi; Peter T Katzmarzyk
Journal:  Int J Pediatr Obes       Date:  2010-04

4.  Stroke symptoms and risk factor awareness in high school children in Pakistan.

Authors:  Muhammad U Farooq; Archit Bhatt; Adnan Safdar; Mounzer Y Kassab; Arshad Majid
Journal:  Int J Stroke       Date:  2012-12       Impact factor: 5.266

5.  A study of cardiovascular risk factors and its knowledge among school children of Delhi.

Authors:  Grace Mary George; Kamlesh Kumari Sharma; Sivasubramaniam Ramakrishnan; Sanjeev Kumar Gupta
Journal:  Indian Heart J       Date:  2014-05-05

6.  Improvement in nutrition-related knowledge and behaviour of urban Asian Indian school children: findings from the 'Medical education for children/Adolescents for Realistic prevention of obesity and diabetes and for healthy aGeing' ( MARG) intervention study.

Authors:  Priyali Shah; Anoop Misra; Nidhi Gupta; Daya Kishore Hazra; Rajeev Gupta; Payal Seth; Anand Agarwal; Arun Kumar Gupta; Arvind Jain; Atul Kulshreshta; Nandita Hazra; Padmamalika Khanna; Prasann Kumar Gangwar; Sunil Bansal; Pooja Tallikoti; Indu Mohan; Rooma Bhargava; Rekha Sharma; Seema Gulati; Swati Bharadwaj; Ravindra Mohan Pandey; Kashish Goel
Journal:  Br J Nutr       Date:  2010-04-07       Impact factor: 3.718

7.  Awareness of risk factors and warning signs of stroke in a Nigeria university.

Authors:  Adebimpe O Obembe; Matthew O Olaogun; Adesola A Bamikole; Morenikeji A Komolafe; Marufat O Odetunde
Journal:  J Stroke Cerebrovasc Dis       Date:  2013-07-30       Impact factor: 2.136

8.  Coronary heart disease: awareness of risk factors and lifestyle among school-going adolescents.

Authors:  R Batlish; S L Jadhav; Amitav Banerjee
Journal:  Indian J Med Sci       Date:  2007-08

9.  Cardiovascular health awareness and the effect of an educational intervention on school-aged children in a rural district of India.

Authors:  Madhab Ray; Santanu Guha; Meghna Ray; Anita Kundu; Bipasha Ray; Kaushik Kundu; Santanu Goswami; Deepak L Bhatt; Harry P Selker; Robert J Goldberg
Journal:  Indian Heart J       Date:  2016-01-11

10.  Knowledge, attitude, and practice of stroke among high school students in Nepal.

Authors:  Lekhjung Thapa; Nooma Sharma; Ramesh Sharma Poudel; Tirtha Raj Bhandari; Riwaz Bhagat; Ashis Shrestha; Shakti Shrestha; Dipendra Khatiwada; Louis R Caplan
Journal:  J Neurosci Rural Pract       Date:  2016 Oct-Dec
  10 in total

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