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1 Efficacy of peer-mediated multi-modal intervention program for ADHD students over one year Sagar Mehta 407-628-4538 [email protected] Winter Park High School Winter Park, FL Confirmation Number: S321593

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Efficacy of peer-mediated multi-modal intervention program for ADHD students over one year

Sagar Mehta

407-628-4538

[email protected]

Winter Park High School

Winter Park, FL

Confirmation Number: S321593

Mentor: Devendra I Mehta MD

Assistant Professor Florida State University

407 470-6674

[email protected]

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Acknowledgments

Sagar Mehta: Volunteer – Initial 6 week program in summer of 2007. Team leader - 3

weeks follow-up program in summer 2008

Dr. Devendra I Mehta MD: Mentor, Supervisor of summer 2007 and 2008 trips. Helped

with data collection and statistical analysis and editing of paper

Dr Ashok Motiwala MD: Pediatrician, New Delhi; Director, HARSH MMV Trust

Dr Swyamprabha Sharma PhD: Teacher, Najibabad Schools

Dr Naina Mehta MD: Neurodevelopmental Pediatrician, Orlando, Fl

Dr Hemant Bisht DMD: Dentist, Najibabad

Dr Vijaylakshmi Jain PhD: Principal of Najibabad schools

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Efficacy of peer-mediated multi-modal intervention program for ADHD students

over one year

Abstract:

Aim: To assess the efficacy of a 12 month peer-mediated interventional program con-

sisting of yoga, meditation, and play therapy implemented in a school in India.

Population: 69 Students between ages of 6 and 11 previously identified as having

ADHD were enrolled. Control population consisted of 66 age-matched students.

Methods: A program called Climb-Up was embedded in a school twice weekly. Local

high school student volunteers were trained to implement the program for one year. Im-

provements in ADHD symptoms and academic performance were assessed using Van-

derbilt Assessment from parents and teachers, Improvements in dental health were

scored using the DMFT score assessed by a local dentist.

Results: The mean Performance Impairment scores for ADHD students improved by 6

wks and were sustained through to 12 months in 50 (87%) students. The improvements

were highly significant (p<.0001, paired ttest). The DMFT scores of the 32 surveyed did

not improve at 6 months from baseline but by 12 months 19 (59.4%) students had im-

proved, and reached the same level as the control population. This was highly signifi-

cant compared to baseline (p<.0005, paired ttest).

Conclusion: The Climb-Up program resulted in remarkable improvements in the stu-

dents’ school performances and this was sustained throughout the year due to the local

high school volunteers’ efforts. Similarly, personal hygiene was also noted through den-

tal improvements due to dental education and increased focus. These results show

promise for a cost-effective program that could be implemented in any school.

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Introduction

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common

disorders, affecting 5.3% up to 20% of the children worldwide (Polanczyk, 2007), (Moffitt

et al., 2007). U.S. studies have shown a prevalence of 8.7% in 8 – 15 year olds

(Froehlich, 2007). We had reported a similar prevalence in a school based study in India

at 8.79%, the research project last year’s project titled: “Epidemiology of ADHD in India

and its Impact on Accident Proneness, Self Care, and Projected Economic Burden.”

Other studies in India based on hospital or outpatient clinic populations, with referral

bias suggest prevalence of 5.2% to 29.5% (Kaur , 2004, Mukhopadhyay 2003, Bhatia

1991).

The condition generally leads to poor academic performance at school and

problems with behavior at home and school. Children with this disorder often have other

problems such as anxiety, depression, and learning disabilities, and it adversely impacts

the family and community. As they reach adolescence, these children are also at

greater risk of drug and alcohol abuse and other issues such as increased rate of motor

vehicle accidents, adding a substantial cost burden to the society. In our study we had

noted an increased rate of dental decay in these children compared to controls (Figure

5). These children also suffer from higher levels of temper-tantrums, tics, and problems

with family and peer relationships that continue into adulthood and prevent the person

from achieving their maximum potential (American Academy of Pediatrics, 2001).

However, with treatment with behavioral therapy with or without medications,

most are able to do well at school and college, and become productive adults.

Multimodal behavioral program integrating play therapy, exercise, and reward systems

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using psychologists have been shown to help the majority of children with ADHD

(Jenson et al 2007). The solution we devised was a self-sustaining, low cost program

not dependent on scarce professionals that could also be embedded into the school to

ensure compliance.

Based on our own volunteer experiences, we reasoned school peers would be

an ideal, perpetual resource. Other studies in small settings have shown peer tutoring

does help children with ADHD (DuPaul, 1998; Plumer 2005). Peers can offer role

models, have closer associations with the children throughout school, help build self

esteem, and provide a more suitable environment for the needs of the ADHD students

(Barkley 567).

Yoga with meditation modified for children was chosen as the physical excessive

component. Yoga also needs limited space, no equipment, easy to learn, and culturally

well accepted. There is strong belief but limited evidence to show that Yoga and

Meditation helps focus and attention. Pilot studies using this as family based therapy for

ADHD in 8 boys have been reported to show promise (Jensen, 2004). Additional

theoretical basis may be the increase in dopamine release in the CNS from Yoga

(Kjaer, 2002). In ADHD, reduced dopamine levels are seen in the CNS (Swanson,

2007), and strategies to regulate these levels are suggested as possible therapies.

To evaluate the program, we chose to look at Vanderbilt Scores, which relate to

Parents and Teachers assessment of ADHD symptoms, and in terms of personal

hygiene, we chose dental disease as this was noted to be significantly worse than

controls (Figure 5), and would be amenable to changes over a one year timeline.

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Population: The study population studied consisted of children in 2nd to 5th

grades (ages 6 yrs to 11 yrs) identified as having ADHD, attending a school in

Najibabad, a small town 400 kilometers north of Delhi. As reported previously, 80

children between ages 6 and 11 yrs were identified, using DSM IV criteria, using

Vanderbilt as the assessment tool, and a Neurodevelopment exam to exclude other

conditions. Of these, 76 agreed to enroll, and 69 stayed in the program consistently for

12 months. Of the seven, 5 moved to other schools, and 2 came intermittently and were

excluded from the data analysis. The children with ADHD were divided into age and

sex based groups of 8 to 10 each.

Population Characteristics: The town’s population is roughly 155,000 with about 55% of

the children attending the public boys or girls schools. The other 45% children attended

a Catholic or private school in the town, or boarding schools elsewhere, or did not

attend school and were not part of our survey. The population consisted of just over

50% Muslim, 48 % Hindu, in keeping with the state average. Also about 90% of the

population lived in the urban area of the town with the other 10% living in the rural area.

There are three Pediatricians and several general practitioners. There is one college,

with the nearest University in Bareilly (Central Intelligence Agency World Factbook,

2008). For the dental assessment the control population of 66 children was selected

from the same grades by random selection

.

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Method:

This program was implemented in Najibabad over a 6 week period in the

summer of 2007. As reported previously, 80 children between ages 6 and 11 yrs were

identified, using DSM IV criteria, using Vanderbilt (Appendix A) as the assessment tool,

and a Neurodevelopment exam to exclude other conditions. Of these, 76 were enrolled

after informed consent.

The interventional program was devised as part of a program called Climb-Up.

This composed of Yoga poses and simple meditation techniques using breathing

suitable for children were selected from Prekshya Dhyana taught by Jain Nuns. Games

that are used to increase attention span, while improving their memory, concentration

and social skills were translated into Hindi, with culturally appropriate modifications

made as necessary. These games ranged from “Simon Says” and “Twister” to memory

card games and board games such as “Stare”. The total cost of games and related

supplies was $75.00. With time local games with similar attributes were introduced.

Three additional high school volunteers from the US and UK were recruited and trained

over a two week period.

The children with ADHD were divided into age and sex based groups of 8 to 10

each. Morning sessions of 25 minutes of Yoga and Meditation, followed by 30 minutes

play therapy, and a 5 minute discussion/feedback from the children, twice a week per

group were established with each group having 2 volunteers delivering the program.

Attendance and level of involvement was tracked and provided graphically to give each

child feedback. In addition, tangible rewards were given each session to spur ongoing

effort. During this time 13 local high school 11th graders were recruited. These high

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school volunteers were trained over during weeks 3 and 4, and they then ran the

program for the last 2 weeks with observation and feedback from the Climb-Up team. A

Yoga and Meditation proficiency test was administered toward the end confirming all

children had reasonable skills. The volunteers carried on the program twice weekly per

group for 2 more weeks and then once weekly throughout the year except during school

breaks and examination week, as well as the first week of new term. During the winter

months, the class time switched to the last class before lunch.

After 6 months of enrollment, another UK volunteer visited and introduced

changes in the program. This consisted of new games, partly devised with input from

the high school volunteers, and new Yoga postures to maintain interest and pose new

challenges, as well as continue to engage the volunteers.

The children were screened for ADHD using the Initial Teacher Vanderbilt

Assessment (American Academy of Pediatrics, 2001) in May 2007 toward the end of

their school year. Follow up Teacher and Parent version were subsequently completed

after 6 weeks of the program implementation, and then by parents at 6 months, and

teachers at the beginning of the next school year. The Vanderbilt captures symptoms

relating to inattentiveness or hyperactivity, and generates a combined or raw score. The

Vanderbilt questionnaires were translated into Hindi by trained teachers. The parents if

needed, asked teachers not directly teaching their child to help complete the

questionnaire. Though not specifically validated in India, this score system has been

used in other countries (Wolraich, 2003). These completed forms were then mailed to

us and data entered onto excel spreadsheets. The scores are generated for

Hyperactivity and Inattentiveness, and these are combined to give the Vanderbilt Raw

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Score. Performance Impairment Scores on the questionnaire are based on 8 areas:

reading, mathematics, written expression, relationship with peers, following directions,

disrupting class, assignment completion, and organizational skills. Each category is

scored from a 1 to 5 with a 4 or 5 indicating impairment, and abnormal scores

(American Academy of Pediatrics, 2001). The number of areas of impairment are then

tallied (maximum 8) to give the Performance Impairment Score.

During that summer, a dental evaluation of the ADHD children and control

students was performed by a dentist in town to determine the number of decayed,

missing, or filled teeth. This produces the DMFT score (WHO Global InfoBase: India). A

dental survey was also conducted to determine brushing habits, use of toothpaste, and

unhealthy dietary habits such as eating sweets before bed. In addition, the children

were educated in oral hygiene and taught the proper methods to brushing and the

amount it should be done. They were also given supplies to carry on healthy brushing

habits.

At the 6 month interval, a dental evaluation was also conducted by the same

dentist, and the children were exposed to dental education again to reinforce oral

hygiene. Again after a year the students’ dental health was re-assessed by the same

dentist.

All the information was collected using excel and Epi Info Database. Analysis

was performed using descriptive statistics, and paired t-test for each time point.

Significance was determined as P value < .05.

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Time Table

Assessments May 2007 July 2007 Dec 2007 July 2008

Parents X X X

Teachers X X X

Dental X X X

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Results:

Performance impairment is assessed by the teachers only (Figure 1). The follow-

up performance impairment scores were completed in July 2007 and July 2008. The

average score decreased remarkably from 5.7 at baseline May 2007 to 1.4 in July 2007

(p<0.001, 2 tailed paired ttest). This improvement from baseline was sustained with the

score in July 2008 of 1.5 sd (p<.0001, 2 tailed paired ttest). From the Baseline

assessment in May 2007 to July 2008, 7 (12%) students had scores remain the same or

worsen and 50 (87%) of the students showed improvement. A total of 19 students still

had significant symptoms of ADHD according to the teacher evaluations.

In terms of gender, the mean improvement score was 3.24 for females and 4.93 for

males. However, when compared with their baseline, the improvement from baseline for

females was 76% and for males 75%.

The Teachers’ follow-up Vanderbilt raw score assessments were completed in

July 2007 and July 2008 and are shown in Figure 2. At baseline May 2007 the average

score was 12.4 SD 3.8. In July 2007, after 6 weeks of twice weekly intervention the

average improved to 5.4 SD 4.7 (p<0.000 2 tailed ttest). One year later in July 2008,

after once weekly sessions, the improvement was sustained with an average score of

4.7 SD 5.8.

The parents’ follow-up assessments were completed in July 2007 and Dec 2007

and are shown in Figure 3. At baseline May 2007, the average score was 9.3 SD 4.6. In

July 2007 the average improved significantly to 6.8 SD 5.2 (p<0.001 2 tailed ttest). In

December 2007 this average was still significantly lower at 5.8 SD 4.4 then at baseline

(p<0.001 2 tailed ttest). The July 2007 and December 2007 scores were not statistically

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different. 63 of the 69 students had assessments completed at both dates. According to

the parent reports, by Dec 2007, 14 (22%) students had ADHD symptoms that

remained the same or worsened and 49 (78%) had improved from baseline. In terms of

parent and teacher concordance, agreement in direction of change was seen by both at

6 weeks in 54 (78%), and disagreements in 12(17%).

Dental Results:

Attrition rates for dental evaluation were as follows: all 69 were evaluated at baseline,

and at 6 months in Dec 2007, 52 were reassessed. At 12 months in July 2008, only 32

of the students were present at follow-up dental examination as monsoon rains

hampered the local dentist travel; therefore the analysis is limited to this subset. The

average DMFT score in July 2007 for the whole group of 69 was 2.42 SD 2.3, and the

subset of 32 with completed follow-up was 2.27 SD 2.4 (n.s.). This similarity and the

unplanned circumstances leading to a smaller final sample should minimize any risk of

sampling bias. The follow-up assessment in Dec 2007 reported an average score of

2.12 and in July 2008, the average score was 1.03 (Figure 4) (p<.0005, 2 tailed paired

ttest). From July 07 to July 08, 4 (12.5%) had scores worsen, 9 (28.1%) had scores

remain the same, and 19 (59.4%) had scores improve. Figure 5 shows our previous

baseline data for percentage of children with ADHD with a score greater than 2 on the

DMFT scale, compared with age matched controls from the same classes. The one

year follow-up DMFT scores are similar to controls.

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Figure 1:

MAY2007 JUL2007 JUL20080

1

2

3

4

5

6

7

8

Performance Impairment Score

Date of Assessments

Mea

n Sc

ore

(SD=

bar)

* *

Figure 1: Shows the teachers’ performance impairment scores with SD for the months of May 2007, July 2007, and July 2008. “*” represents the difference between the baseline value (May 2007) and all the fol-low up assessments and is significant at p < .0001.

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Figure 2:

MAY2007 JUL2007 JUL20080

2

4

6

8

10

12

14

16

Teacher Raw Vanderbilt Scores

Date of Assessments

Mea

n Sc

ores

**

Figure 2: Shows teachers’ raw Vanderbilt scores assessing the ADHD. The mean values and SD are shown for month May 2007, July 2007, and July 2008. “*” represents the difference between the baseline and July 2007 and July 2008 for the teachers and is significant at p<.0001

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Figure 3:

MAY2007 JUL2007 DEC20070

1

2

3

4

5

6

7

8

9

10

Parent Raw Vanderbilt Scores

Date of Assessment

Mea

n Sc

ore

(SD

=Bar

)

*

Figure 3: Shows parents’ raw Vanderbilt scores assessing the ADHD. The mean values and SD are shown for month May 2007, July 2007, and Dec 2007. “ * ” represents the difference between the baseline value (May 2007) and all the follow up assessments for the parents is significant at p < 0.005.

*

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Figure 4:

JUL '07 DEC '07 JUL '080

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5 Change in DMFT Score After 1 year

Year

DMFT

Sco

re (S

D=Ba

r)

Figure 4: Shows the Change in DMFT scores of the ADHD Children from July 2007 to Dec 2007 to July 2008. The change from July 2007 to July 2008 is significant at p < .0005. The change from July 2007 to Dec 2007 is not significant at p >0.5. The change from Dec 2007 to July 2008 is significant at p < .005

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Figure 5:

Control ADHD baseline ADHD 1 year f/u0

5

10

15

20

25

30

35

40

45

Percent of Children with ADHD at Baseline,One Year Follow up, and Controls with DMF scores >2

Figure 5: Shows the percentage of control or ADHD students with a DMFT score of more than 2. The dif-ference is statistically significant at P < 0.01 (Chi Sq.) with a relative risk of 1.5 between control and ADHD baseline. One year follow up for ADHD is similar to control children (p>0.5 Chi q)

%

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Discussion:

The improvement in the performance impairment score confirms the efficacy of

the program for ADHD children. This constitutes improvement in the academic

performance, social and peer interactions and ability to follow instructions. Likewise,

these improvements were seen in the parents and teachers raw Vanderbilt scores

which show a statistically significant decrease in the scores. Both report improvements

in the child’s ability to pay attention in class, organizational skills with homework, and

decreased impulsive behavior. The teacher evaluations confirm the positive results

were maintained from July 2007 through to the following July 2008. This was also

achieved after the original Climb-Up team members left and the local high school

student volunteers carried on the program. These results show that a two-week training

course was enough to transfer the program successfully to local high school volunteers.

Furthermore the data proves that the interventional program had more than just a short-

lasting beneficial impact and the efficacy was self-sustained over the year. Indeed the

program is still being carried on with newly trained volunteers in 2008 suggesting this

could be perpetuated in a peer to peer fashion.

The children as well as the peers enjoyed the meditation and yoga and were

particularly interested in the play therapy. It was clear another relationship was

developing between the peers and the students having an impact on the child’s self

esteem. Although difficult to evaluate, this may have been one important factor in the

program’s success

Another element of the program that could contribute to the improvement was the

use of tangible rewards. Each week the children were scored on the behavior and the

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child with the most marks would receive a choice of a toy from a gift bag. This inspired

the children to improve their behavior and maintain this improvement. Also, the 12

graduating students were presented with awards for successfully completing the

program and were recognized by the Principal and School Chairmen. A similar idea was

used for the local high school volunteers to give them motivation for their work.

Depending on the amount of hours volunteered, these students were given a certain

amount of dress material, and also recognition by the Principal and School Chairmen.

At first the school principal had been hesitant concerning the volunteer involvement idea

as this was the school’s first exposure to Community Service and Volunteer activities.

But once it was carried out, the program helped raise community awareness and by the

next year there were a multitude of new students eager to volunteer.

Figure 5 shows the July 2007 DMFT scores of greater than 2 between the

control group and the ADHD group. The increased prevalence in untreated ADHD

children is statistically significant and shows the negative impact that ADHD has on oral

hygiene. This led to the idea of Dental education sessions for the students. In

December 2007 the dentist re-evaluated the children’s teeth and found that the mean

DMFT score decreased from 2.3 to 1.8. This is not statistically significant and a reason

for this could be that 6 months is not enough time for the dental education and the

assessment of its effects. However a repeat dental evaluation in July 2008 revealed that

the mean score had decreased to 1.0, which is statistically significant. Indeed, in Figure

5, the percent of children with DMFT scores greater than 2 improved from baseline to

control values after 1 year for the ADHD children. Unfortunately, only 32 children had

complete assessments over the three time points, so this may lead to sampling bias.

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The dentist was not always able to stay for a long enough time to assess each child,

and the July timeline proved to be inconvenient because of monsoon rains. Out of these

32, 4 children (12.5%) had worse scores by the end, 9 (28.1%) had scores remain the

same, and 19 (59.4%) had improved scores. The results prove that the ADHD children’s

oral hygiene can be improved with dental education and enforcement of healthy dietary

habits.

These results show a remarkable consistency in response to both the peer

mediated program, as well as dental education. While some of the effects may be

credited to initial enthusiasm and attention, the fact that improved performance in school

was sustained for the majority after one year of intervention by school volunteers is

impressive. Further work would be needed to assess which part of the program has the

greatest efficacy. One recent study pilot study from Arizona shows preliminary evidence

of efficacy of Transcendental Meditation in ADHD in 11 children (Grosswald et al 2008),

reaffirming potential role of Yoga with Meditation. Likewise, further attention should be

given to the children who failed to improve. One approach being followed is to increase

the number of sessions to twice weekly and to engage their parents to make sure they

continue to do yoga and meditation at home.

To assess whether these responses seen can be generalized, we have started a

program in an elementary school in Orange County, Florida. Using the success of the

program in India, we were able to convince the School Board to establish a program in

the morning. It already appears Yoga and Meditation has universal appeal, and every

other aspect of the program is enjoyable and inexpensive. Currently one other high

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school volunteer assists me, and if we show success here, widespread use would be

feasible.

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APPENDIX A