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APPLES: A SCHOOL-BASED INTERVENTION TO REDUCE OBESITY RISK FACTORS P Sahota, MCJ Rudolf, R Dixey, AJ Hill, JH Barth, J Cade.

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APPLES :. A SCHOOL-BASED INTERVENTION TO REDUCE OBESITY RISK FACTORS P Sahota, MCJ Rudolf, R Dixey, AJ Hill, JH Barth, J Cade. Aim of The APPLES Project. To develop a school based programme to improve the diet and activity levels of primary school children and so reduce obesity risk factors. - PowerPoint PPT Presentation

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Page 1: APPLES :

APPLES: A SCHOOL-BASED

INTERVENTION TO REDUCE OBESITY RISK FACTORS

P Sahota, MCJ Rudolf, R Dixey,

AJ Hill, JH Barth, J Cade.

Page 2: APPLES :

Aim of The APPLES Project

• To develop a school based programme to improve the diet and activity levels of primary school children and so reduce obesity risk factors

Page 3: APPLES :

Aim of The APPLES Project

• To develop a school based programme to improve the diet and activity levels of primary school children and so reduce obesity risk factors

Page 4: APPLES :

STUDY DESIGN: GROUP RANDOMISED CONTROLLED TRIAL

•10 schools involving 700 children aged 7-11 years

Schools F-J

Schools A-E

INTERVENTION

COMPARISON

Schools F-J

Schools A-E

baseline 12 mths

24 mths

•schools paired for size, ethnicity and FSMI and then randomised

•analysis by cluster

Page 5: APPLES :

APPROACH

• Population Approach

• Health Promoting School Philosophy

Page 6: APPLES :

The APPLES PROGRAMME

• Teachers Training Days

• Resource Dissemination

• Formulation of School Action Plans

• Continuous Support and Monitoring

• Anthropometric, diet, physical activity, psychological data collected pre and post intervention

Page 7: APPLES :

APPLES ACTIVITIES

Topic work

Dietitian visits to class

Practical cooking sessions

Tuck shops

PE lessons Playground activities

Health fairs

School meals

Page 8: APPLES :
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Page 14: APPLES :

THE EVALUATION PROCESS

• How successful was the implementation process?

• What impact did APPLES have on the school?

• What effect did it have on the individual child?

Page 15: APPLES :

HOW SUCCESSFUL WAS THE IMPLEMENTATION?

• All 10 schools completed

• The teachers’ evaluations

• 85 action points developed (6 -14 per school)

• Response rates for data collection 64%-97%

• Uptake of support offered by the Team

Page 16: APPLES :

Teachers Evaluation

• Training extremely useful 43%

very useful 32%

useful 25%• Resources

yes, will use again 100%• Benefits

increased awareness in children 100%

Page 17: APPLES :

Change Suggested by Parents Results of questionnaire ( 64% response rate)

• playground activities 43%• break-time snacks 40%• school dinners 33%• games and sports 29%• packed lunches 16 %• no change 20%

Page 18: APPLES :

IMPACT ON THE SCHOOL

• Action plans

• School meals

• Focus groups

Page 19: APPLES :

Some Activities in the Action Plans - 89% achieved

Schools• Nutrition education in curriculum 10• Healthy eating sessions by dietitian 10• Fit is Fun programme in P.E 10• Improved playground facilities 6• Policy changes in break-time snacks 5• Healthy tuckshops 4

Page 20: APPLES :

Changes in School Meals

No. of Schools

before after

• jacket potatoes 1 10

• fresh fruit - daily 8 10

• mash potatoes 4 6

• salad vegetables - daily 4 7

• vegetarian options poor good

Page 21: APPLES :

FOCUS GROUPS

Intervention school children reported:

• Better understanding

• More sophisticated ideas

• Higher self reported behaviour change

• Higher recollection of activities related to diet and activity

Page 22: APPLES :
Page 23: APPLES :

WAS THE INTERVENTION EFFECTIVE?

• Growth

• Diet - 3 day diaries, 24 hr recall

• Physical activity - diaries and recall

• Psychological well being

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W E IG H T E D M E A N D IF F E R E N C E F O R T H E 5 IN T E R V E N T IO NS C H O O L S R E L A T IV E T O T H E IR P A IR E D C O M P A R IS O NS C H O O L

in d ica tes low e r B M I sd score in d ica tes h igh er B M I sd score in th ein th e In terven tion S ch oo ls In terven tion S ch oo ls

W eigh ted M ean d if f .-.34 0 .34

% W eig h t W eig h ted M ean d if f . (95 % C I)

-0 .04 (-0 .1 5 ,0 .0 8 ) 1 25 .8

0 .06 ( -0 .10 ,0 .2 1 ) 2 18 .0

0 .07 ( -0 .06 ,0 .2 0 ) 3 22 .5

-0 .12 (-0 .2 7 ,0 .0 3 ) 4 19 .8

-0 .15 (-0 .3 4 ,0 .0 4 ) 5 13 .9

-0 .03 (-0 .1 1 ,0 .0 5 ) O vera ll (95 % C I)

BMI

Page 26: APPLES :

W E I G H T E D M E A N D IF F E R E N C E F O R T H E 5 I N T E R V E N T I O NS C H O O L S R E L A T I V E T O T H E I R P A I R E D C O M P A R I S O NS C H O O L S

W eig h te d M e a n d if f .- .7 2 0 .7 2

% W eig h t W e ig h te d M e a n d if f . (9 5 % C I)

0 .1 5 ( -0 .0 7 ,0 .3 7 ) 1 2 5 .5

0 .4 3 ( 0 .1 6 ,0 .7 0 ) 2 1 8 .2

0 .3 0 ( 0 .0 7 ,0 .5 3 ) 3 2 3 .0

0 .4 3 ( 0 .1 4 ,0 .7 2 ) 4 1 6 .0

0 .1 4 ( -0 .1 3 ,0 .4 1 ) 5 1 7 .4

0 .2 8 ( 0 .1 6 ,0 .4 0 ) O v er a l l ( 9 5 % C I )

in d ic a te s lo w e r in ta k e in th e in d ic a te s h ig h e r in ta k e in th e In te rv e n t io n sc h o o ls In te rv e n t io n S c h o o ls

VEGETABLE INTAKE

Page 27: APPLES :

OTHER OUTCOMES:no significant difference between intervention

and comparison schools

• Dietary: fat

sugar

fruit intake

• Physical activity

• Psychological measures

Page 28: APPLES :

SUMMARY OF THE FINDINGS

• APPLES was successful in its implementation

• APPLES had an evident impact on the schools

• Behavioural changes in the children were disappointing

Page 29: APPLES :

Reflections and implications for Health Services Research

Study Design

• Sample size

• Length of intervention

• Outcome measures

• Complexity of the intervention

Page 30: APPLES :

FutureFuture

• Research officer post funded

• Refine intervention

• conduct a multi-centre RCT

Page 31: APPLES :

Publications• Mary CJ Rudolf, Tim J Cole, Aaron J Krom, Pinki Sahota, Jenny Walker. (2000) Growth of primary school

children: a validation of the 1990 references and their use in growth monitoring. Archives of Disease in Childhood, 83:298 – 301.

• R. Dixey, P Sahota, S Atwal, A Turner. (2001) Children talking about healthy eating: data from focus groups with 300 9-11 year olds. Nutrition Bulletin, British Nutrition Foundation, 26 (1): 71-79.

• Rachael Dixey, Pinki Sahota, Serbjit Atwal , Alex Turner. (2001) “Ha ha, you’re fat, we’re strong”; a qualitative study of boys’ and girls’ perceptions of fatness, thinness, social pressures and health using focus groups. Health Education,101(5): 206 – 216.

• Mary CJ Rudolf, Pinki Sahota, Julian H Barth, Jenny Walker. (2001) Increasing prevalence of obesity in primary school children: cohort study. British Medical Journal 322: 1094 - 1095

• Pinki Sahota, Mary CJ Rudolf, Rachael Dixey, Andrew J. Hill, Julian H Barth, Janet Cade. (2001) Evaluation of implementation and effect of school based intervention to reduce risk factors for obesity. British Medical Journal, 323: 1027 – 1029.

• Pinki Sahota, Mary CJ Rudolf, Rachael Dixey, Andrew J. Hill, Julian H Barth, Janet Cade. (2001) Randomised controlled trial of primary school based intervention to reduce risk factors for obesity. British Medical Journal, 323: 1029 – 1032.

• Rudolf MCJ, Greenwood DC, Cole TJ, Levine R, Sahota P, Walker J, Holland P, Cade J, Truscott J (2003) Rising Obesity and Expanding Waistlines In School Children: A Cohort Study. Archives of Disease in Childhood (in press)

Page 32: APPLES :

Prevalence of Overweight and Obesity by Year

N Mean ageYrs.

Overweight %

Obese%

1996 613 8.39 17.5 8.9

1997 596 9.39 21.3 10.9

1998 577 10.35 25.5 13.9

Page 33: APPLES :

0

5

10

15

20

25

30

35

40

% Children

7 8 9 10 11 total

Age yrs.

Prevalence of Overweight according to age

GirlsBoys

85th Centile

Frequencies significantly different from expected values of 15% (overweight) at * p < 0.01 ** p < 0.001

* **

**

** **

**

** **

Page 34: APPLES :

Prevalence of Obesity according to age

0

5

10

15

20

25

7 8 9 10 11 totalAge yrs.

% Children

Girls

Boys

95th Centile

Frequencies significantly different from expected values of 5% (obesity) at * p < 0.01 ** p < 0.001

** **

**

** ** ** ** **

Page 35: APPLES :

CONCLUSIONS• Primary schools can implement changes into the

school with little in the way of extra resources

• Behavioural changes are harder to measure and achieve

• Obesity is reaching epidemic proportions in the UK

• Urgent need for good quality evaluative research.