Literature DB >> 21504962

'11 for Health', a football-based health education programme for children: a two-cohort study in Mauritius and Zimbabwe.

Colin W Fuller1, Astrid Junge, Cadrivel Dorasami, Jeff DeCelles, Jiri Dvorak.   

Abstract

OBJECTIVES: To implement and assess Fédération Internationale de Football Association Medical Assessment and Research Centre's '11 for Health' football-based health education programme for children.
DESIGN: Prospective, 2-cohort study.
SETTING: In-school groups (Mauritius); out-of-school groups (Zimbabwe). PARTICIPANTS: Mauritius: 389 children, aged 12-15 years; Zimbabwe: 395 children, aged 10-14 years. INTERVENTION: Eleven 90-min sessions, each divided into two 45-min halves of Play Football (focusing on one football skill) and Play Fair (focusing on one health issue). MAIN OUTCOME MEASURES: 30-item questionnaire implemented pre and postintervention to assess children's health knowledge; six-item questionnaire implemented postintervention to assess children's views about the '11 for Health' programme.
RESULTS: Mean pre and postintervention health knowledge scores were greater in Mauritius (pre: 69.3%; post: 87.1%) than Zimbabwe (pre: 57.8%; post: 76.2%) but the mean gain in health knowledge was greater in Zimbabwe (18.4%) than Mauritius (17.8%). There were few significant differences in the outcomes for boys and girls in both countries. The '11 for Health' programme was received positively by the children in both countries and there were no significant differences in the views of boys and girls in either country.
CONCLUSIONS: The study demonstrated that it was possible to achieve significant increases in children's knowledge for all health messages by implementing the '11 for Health' programme in a school-based setting in collaboration with a national Football Association and in an out-of-school setting in collaboration with a non-government organisation. Based on these positive results, the authors recommend that the programme be widely implemented in Africa in co-operation with government and non-government organisations.

Entities:  

Mesh:

Year:  2011        PMID: 21504962      PMCID: PMC3106975          DOI: 10.1136/bjsm.2011.084905

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


Introduction

Moeti1 described the African Region as suffering a double health burden: the highest rate of death in the world from communicable diseases and an increasing rate of death from non-communicable diseases. The WHO2 estimated that although communicable diseases caused the majority of deaths in Africa at the present time, non-communicable diseases would become the major cause by 2030. The first International Conference on Health Promotion3 resulted in a Charter that encouraged international organisations to ‘support countries in setting up strategies and programmes for health promotion’ (p5). The fourth in this series of International Conferences3 produced a consensus that included the statement ‘Health promotion requires partnerships for health and social development between the different sectors at all levels of governance and society. Existing partnerships need to be strengthened and the potential for new partnerships must be explored’ (p20). WHO4 also launched a ‘Global School Health Initiative’ in order to promote and improve health education for children at local, regional and national levels: a primary aim of the initiative being to enhance the capacity of the schools to provide a setting for healthy living, learning and working. The strategy promoted by WHO included identification of relevant health issues, development of health education programmes and collaborations between health and education agencies to implement such programmes. International organisations such as UNICEF, UNESCO, ILO and WHO5 acknowledge that physical activity is ‘an effective method of disease prevention for the individual and, for nations, a cost-effective way to improve public health’ (p5). Translating these global statements and strategies into appropriate, workable, cost-effective programmes for children remains the main challenge to everyone working in health promotion. The important role that exercise plays in reducing risk factors associated with, for example, obesity, cardiovascular disease and diabetes is widely recognised,6–8 especially for children.9–11 Football, which is by far the most popular sport worldwide for adults and children, has been demonstrated to be an effective means of delivering exercise to all age groups.12 In 2006, Fédération Internationale de Football Association (FIFA) recognised the unique role that football could play in the promotion of exercise and healthy behaviours, which in turn could reduce the burden from communicable and non-communicable diseases in many countries: this lead to the development of the FIFA initiative entitled ‘Football for Health’. Following two focus-group meetings in Zurich in 2007 involving a range of stakeholders,13 FIFA's Medical Assessment and Research Centre (F-MARC) developed a football-based health education programme for children in Africa entitled ‘11 for Health’. This programme, which was made up of eleven 90-min sessions and covered a range of football skills and health messages, was subjected to a pilot study during 2009 among 370 children aged 11–15 years in Khayelitsha township in South Africa.13 The results from the study demonstrated that it was possible to achieve significant increases in children's health knowledge and prevention strategies for communicable and non-communicable diseases. The recommendations from the study in South Africa were that the efficacy of the programme should be assessed further using larger sample sizes, different countries and alternate modes of delivery.13 Mauritius and Zimbabwe were selected as countries in which the ‘11 for Health’ programme could be further evaluated because they provided contrasting socioeconomic-health conditions14–16; in addition, the conditions in these countries spanned the conditions reported for South Africa, where the first study was conducted (table 1). The economic situation usually affects the standard of a country's health infrastructure, which impacts on indicators such as the under-5 mortality and life expectancy.17 Also of relevance to the evaluation of the ‘11 for Health’ programme was the fact that the main health concerns in Mauritius relate to non-communicable diseases, such as diabetes and cardiovascular disease, while in Zimbabwe they relate more to communicable diseases, such as HIV/AIDS, tuberculosis and malaria. These differences, therefore, provided contrasting environments in which to evaluate various aspects of the ‘11 for Health’ education programme.
Table 1

Socioeconomic comparisons for Mauritius, Zimbabwe and South Africa14–16

Performance indicatorMauritiusZimbabweSouth AfricaWorld
Demographics
Population; millions1.312.650.56910
Birth rate; per 1000/year15282320
Death rate; per 1000/year719179
Growth rate; %1.01.41.71.4
Economic
Gross national income/capita; US$545034057607952
Environment
Access to improved drinking water sources; %100819387
Access to improved sanitation facilities; %94465962
Education
Youth literacy (15–24 years); %96999688
Adult literacy; %87918881
Survival to last primary education grade; %99797790
Health
Life expectancy at birth; years73435068
Under-5 years mortality; deaths/1000 births15905968
Child immunisation; %
Measles98668382
Polio96669782
Tuberculosis98769989
Adult HIV/AIDS prevalence; %1.715.318.10.8
Diabetes prevalence (20–79 years); %17.03.44.56.6
Socioeconomic comparisons for Mauritius, Zimbabwe and South Africa14–16 The objectives of the present study were (1) to implement and evaluate the effectiveness of the ‘11 for Health’ programme in two African countries with different socioeconomic and health standards (Mauritius and Zimbabwe); (2) to determine whether there were differences in the effectiveness of the ‘11 for Health’ programme for delivering health education to boys and girls; and (3) to compare the efficacy of delivering the ‘11 for Health’ programme through a non-government organisation and a national Football Association.

Methods

The interventions in the two countries took place independently in the period February to June 2010. In Mauritius, the programme was delivered in collaboration with the Mauritius Football Association with the support of the Mauritius Ministries of Health and Quality of Life, Education and Human Resources and Youth and Sport. In Zimbabwe, the programme was delivered in collaboration with Grassroot Soccer, a non-government organisation with an established history of delivering football-based HIV/AIDS prevention programmes in Zimbabwe. The overall structure, content and implementation procedure for the ‘11 for Health’ programme have been described in detail previously.13 In summary, the programme consisted of eleven 90-min interactive sessions, with each session made up of a 45-min Play Football period (football skills) followed by a 45-min Play Fair period (health education); see table 2. A male and female coach pair usually delivered each session to approximately 20 children (mixed boys and girls). In Mauritius, the programme was implemented as an in-school intervention to children at 11 secondary schools spread throughout the island using teachers recruited from each of the schools involved and qualified football coaches working at the Mauritius Football Association. In Zimbabwe, the programme was implemented as an out-of-school intervention to children using coaches recruited from the local Bulawayo community who had no previous teaching experience. All teachers and coaches taking part in the interventions were provided with a fully documented ‘11 for Health’ guidance manual and attended a 5-day training programme prior to implementing the programme. Children's attendances at each session were recorded in order to determine the level of compliance with the programme. The children's health knowledge with respect to each of the 10 health issues was assessed before and after the intervention using a 30-item health knowledge questionnaire (three statements per health issue), which was an enhanced version of the 20-item questionnaire (two statements per health issue) used in the previous study in South Africa.13 Statements in the questionnaire were generally designed to elicit fixed-alternative responses of ‘true’, ‘false’ or ‘don't know’ from the children: the statements relating to each of the health issues were distributed randomly within the questionnaire. Children's views on the programme were assessed using the same six-item postintervention questionnaire as that used in the previous study13; statements in this questionnaire were designed to elicit a response on a Likert scale of ‘strongly agree’, ‘agree’, ‘neither/nor’, ‘disagree’, or ‘strongly disagree’.
Table 2

The ‘11 for Health’ messages and linked football skills

SessionPlay Football (football skill)Play Fair (health message)
1Playing footballPlay football (physical exercise)
2PassingRespect girls and women
3HeadingProtect yourself from HIV
4DribblingAvoid drugs and alcohol
5ShieldingUse treated bed nets
6DefendingWash your hands
7TrappingDrink clean water
8Building fitnessEat a balanced diet
9ShootingVaccinate yourself and your family
10GoalkeepingTake your prescribed medication
11TeamworkFair play
The ‘11 for Health’ messages and linked football skills Using the results from the study in South Africa13 and the educational standards in Mauritius and Zimbabwe, it was assumed that approximately 60% of children taking part in the study would provide the correct response to the health questions at the preintervention stage and 80% at the postintervention stage. Based on these figures, a sample size of approximately 400 children would be required in each sample to identify, with 95% confidence and 90% power, a 10% difference in pre and postintervention responses to the health statements. Percentages of children providing the correct response to each statement at the pre and postintervention stages were compared using a z test for proportions.18 Numbers of children in groups were compared using a χ2 test. Because of the number of statistical tests conducted on the results, significance was accepted at p<0.01, unless stated otherwise. All participating children and their parents provided informed consent to take part in the studies. The University of Nottingham Medical School Ethics Committee approved both interventions; the school-based study in Mauritius was also approved by the Mauritius Department of Health and Quality of Life.

Results

Average attendance levels recorded for the children attending each of the ‘11 for Health’ sessions were 92.3% (range: 87.0–99.0%) in Mauritius (n=400) and 86.6% (range: 74.3–96.0%) in Zimbabwe (n=422). Attendances in Zimbabwe were affected during sessions 3, 4 and 5 by a national school teachers' strike that resulted in some children not being aware that the ‘11 for Health’ sessions were still taking place despite schools being closed. The demographic data and health questionnaire results reported relate only to those children who completed both the pre and postintervention questionnaires. On this basis, the percentages of children retained in the study were 97.3% in Mauritius and 93.6% in Zimbabwe: figure 1 shows the number of valid questionnaires completed and included and the number of dropouts at each stage of the study. Data summarising the demographics of the children in each group are shown in table 3: there were no statistically significant differences between the numbers of boys and girls included in the cohorts in either country (Mauritius: p=0.723; Zimbabwe: p=0.580).
Figure 1

Flow of children completing health knowledge questionnaires through the study.

Table 3

Demographic data for the children included in the Mauritius and Zimbabwe interventions at the start of each study

Group/gender
Mauritius (n=389)Zimbabwe (n=395)
BoysGirlsBoysGirls
Number in group198191192203
Age, years
Mean12.913.011.611.4
SD0.800.790.990.89
Range12–1512–1510–1410–14
Accommodation, n (%)
House194 (98.0)180 (94.2)184 (97.4)200 (98.5)
Other4 (2.0)11 (5.8)5 (2.6)3 (1.5)
Number of co-occupants
Mean4.14.24.94.8
SD1.91.72.12.1
Range1–111–141–131–11
Favourite sport, n (%)
Football162 (82.2)48 (25.3)157 (82.2)21 (10.4)
Volleyball1 (0.5)34 (17.9)0 (0)1 (0.5)
Netball0 (0)0 (0)1 (0.5)126 (62.7)
Other34 (17.3)108 (56.8)33 (17.3)53 (26.4)
Flow of children completing health knowledge questionnaires through the study. Demographic data for the children included in the Mauritius and Zimbabwe interventions at the start of each study The percentages of correct responses given for each of the 30 health-related statements in each country at the pre and postintervention stages of the study are summarised in table 4. At the preintervention stage, responses to 20 statements were significantly higher in Mauritius and four were significantly higher in Zimbabwe. At the postintervention stage, responses to 21 statements were significantly higher in Mauritius and two were significantly higher in Zimbabwe. The average knowledge-enhancement was similar, however, in both countries (Mauritius: 17.8%; Zimbabwe: 18.4%). Comparing the percentage of correct responses at the pre and postintervention stages showed that there were significant increases in health knowledge for 26 of the 30 statements in both Mauritius and Zimbabwe. Table 5 presents the responses to the health statements as a function of gender in each country. In Mauritius, there were only two statements that resulted in significant differences in responses between boys and girls at the preintervention stage – both of these related to the health message ‘respect for girls and women’; postintervention, there was only one statement where there was a significant difference between boys and girls – this related to the health message ‘protect yourself from HIV’. In Zimbabwe, there were no statements that resulted in significant differences in responses from boys and girls at the preintervention stage; postintervention, there were three statements where there was a significant difference between boys and girls – these related to the health messages ‘eat a balanced diet’, ‘vaccinate yourself and your family’ and ‘take your prescribed medication’. There were, however, a number of statements at the pre and postintervention stages, in both Mauritius and Zimbabwe, where differences between boys and girls health knowledge were significant at the p<0.05 level. The children's views on the ‘11 for Health’ programme are presented by gender in both countries in table 6.
Table 4

Pre and postintervention health knowledge, as a function of country

Group and stage of intervention (correct responses given, %)
Mauritius (n=389)Zimbabwe (n=395)
Session number and health statementPrePostChangePrePostChange
1Playing football will help to keep me healthy97.998.50.679.495.215.8****
Regular exercise helps to prevent being overweight88.496.68.2****77.291.414.2****
Minimum amount of exercise required daily to stay healthy74.293.819.6****52.084.832.8****
2Important for boys to listen to girls58.083.025.0****37.667.830.2****
Boys should help to protect girls from harm89.996.46.5****78.588.29.7****
Football is just for boys92.398.76.4****77.494.116.7****
3You can get HIV by touching someone80.294.614.4****67.084.117.1****
Not having sex is an effective way to avoid getting HIV/AIDS68.486.618.2****68.483.515.1****
You can tell whether people have HIV by the way they look65.887.621.8****42.652.710.1***
4It is possible to become addicted by starting to smoke marijuana68.191.823.7****59.774.915.2****
Drinking alcohol can make you feel sad/lonely55.782.226.5****36.657.921.3****
It is my choice whether or not I take drugs64.077.213.2****39.749.59.8**
5Mosquitoes spread malaria77.595.417.9****94.996.92.0
Using a bed net at night helps to prevent getting malaria83.594.611.1****81.196.215.1****
People with malaria can die if they do not get treatment87.395.38.0****71.983.111.2****
6After washing, it is OK to dry my hands on my shirt90.797.97.2****81.591.39.8****
Less likely to become ill if hands are washed before eating91.090.7−0.381.085.84.8
How long should I wash my hands to remove germs33.783.549.8****21.275.754.5****
7Drinking dirty water causes diarrhoea91.096.95.9****90.593.32.8
It is OK to drink water taken straight from a river93.096.13.181.991.910.0****
How long should water be boiled before it is safe to drink31.884.853.0****28.164.636.5****
8A balanced diet contains food of many colours38.067.729.7****37.381.744.4****
Obesity can lead to diabetes76.988.711.8****32.370.037.7****
You can become obese if you eat too many chips91.597.45.9****12.034.222.2****
9Vaccinations are dangerous88.296.98.7****62.161.6−0.5
My parents/guardians have to pay for my vaccinations37.770.232.5****10.338.528.2****
A vaccination is a type of health food34.928.6−6.344.963.218.3****
10I can stop taking my medication as soon as I begin to feel better58.494.135.7****54.879.524.7****
There is no cure for tuberculosis15.858.442.6****54.566.311.8****
The right medication can help people with HIV to live longer55.989.433.5****77.489.111.7****
Average69.387.117.8****57.876.218.4****

Statistical tests refer to comparisons between the post and preintervention values for the same country:

p≤0.05;

p≤0.01;

p≤0.005;

p≤0.001.

Table 5

Pre and postintervention health knowledge as a function of gender

Group and stage of intervention (correct responses given, %)
Mauritius (n=389)Zimbabwe (n=395)
Boys (n=198)Girls (n=191)Boys (n=192)Girls (n=203)
Session number and health statementPrePostPrePostPrePostPrePost
1Playing football will help to keep me healthy99.099.096.997.984.095.375.2*95.1
Regular exercise helps to prevent being overweight86.394.490.699.0*80.689.573.993.1
Minimum amount of exercise required daily to stay healthy76.092.972.294.757.088.047.481.8
2Important for boys to listen to girls42.680.374.1****85.937.864.637.570.8
Boys should help to protect girls from harm91.995.488.097.480.489.976.686.6
Football is just for boys87.898.596.9****98.975.894.278.894.0
3You can get HIV by touching someone76.193.984.3*95.365.282.368.785.9
Not having sex is an effective way to avoid getting HIV/AIDS64.682.272.391.1**71.185.866.081.3
You can tell whether people have HIV by the way they look62.284.269.591.1*48.758.336.9*47.3*
4It is possible to become addicted by starting to smoke marijuana70.189.966.193.759.577.559.972.4
Drinking alcohol can make you feel sad/lonely61.181.850.0*82.538.957.134.558.7
It is my choice whether or not I take drugs59.073.169.1*81.5*40.150.539.348.5
5Mosquitoes spread malaria80.794.474.296.394.796.895.097.0
Using a bed net at night helps to prevent getting malaria86.394.480.694.881.196.981.295.5
People with malaria can die if they do not get treatment86.994.887.895.873.782.070.384.2
6After washing, it is OK to dry my hands on my shirt87.397.494.2*98.483.689.979.592.6
Less likely to become ill if hands are washed before eating93.487.288.594.2*82.889.079.282.8
How long should I wash my hands to remove germs33.281.334.385.923.575.119.276.2
7Drinking dirty water causes diarrhoea87.896.494.2*97.488.492.092.594.6
It is OK to drink water taken straight from a river90.495.495.8*96.880.790.682.993.0
How long should water be boiled before it is safe to drink26.280.737.9*88.9*29.363.326.965.8
8A balanced diet contains food of many colours39.966.036.169.536.376.338.386.7**
Obesity can lead to diabetes76.886.977.090.538.371.426.7*68.7
You can become obese if you eat too many chips92.497.090.697.915.739.68.4*29.1*
9Vaccinations are dangerous89.495.486.998.460.356.563.966.3***
My parents/guardians have to pay for my vaccinations43.169.231.9*71.28.936.611.640.3
A vaccination is a type of health food38.130.931.626.346.661.143.365.2
10I can stop taking my medication as soon as I begin to feel better63.193.453.494.854.273.055.485.6***
There is no cure for tuberculosis16.956.214.760.751.665.857.266.8
The right medication can help people with HIV to live longer59.489.852.489.076.485.878.392.1*
Average68.985.769.788.558.875.856.876.6

Statistical tests refer to comparisons between the boys and girls responses at the pre and postintervention stages:

p≤0.05;

p≤0.01;

p≤0.005;

p≤0.001.

Table 6

Children's views about the ‘11 for Health’ programme as a function of country and gender

QuestionGroup and gender
MauritiusZimbabwe
Boys (n=198)Girls (n=191)Boys (n=192)Girls (n=203)
Agreement, %Average scoreAgreement, %Average scorep ValueAgreement, %Average scoreAgreement, %Average scorep Value
Sessions were easy to understand99.54.697.44.60.09188.44.489.24.40.816
Learnt about health issues98.54.799.54.70.33492.74.692.64.50.981
Attitude towards health issues changed93.44.593.74.40.90084.24.286.74.40.484
Sessions were enjoyable88.44.591.64.60.28895.34.694.64.60.759
Would recommend programme to friends89.84.489.54.40.91892.14.489.24.40.317
Overall rating of the programme87.24.589.84.60.42899.04.894.64.70.015
Average value92.84.592.54.591.94.592.14.5

‘Agreement’ equates to a response of ‘agree’ or ‘strongly agree’.

‘Average score’ refers to the group's weighted average response (five-point scale: strongly disagree, disagree, neither/nor, agree, strongly agree).

p Values relate to comparisons of the percent ‘agreement’ recorded for boys and girls in the individual countries.

Pre and postintervention health knowledge, as a function of country Statistical tests refer to comparisons between the post and preintervention values for the same country: p≤0.05; p≤0.01; p≤0.005; p≤0.001. Pre and postintervention health knowledge as a function of gender Statistical tests refer to comparisons between the boys and girls responses at the pre and postintervention stages: p≤0.05; p≤0.01; p≤0.005; p≤0.001. Children's views about the ‘11 for Health’ programme as a function of country and gender ‘Agreement’ equates to a response of ‘agree’ or ‘strongly agree’. ‘Average score’ refers to the group's weighted average response (five-point scale: strongly disagree, disagree, neither/nor, agree, strongly agree). p Values relate to comparisons of the percent ‘agreement’ recorded for boys and girls in the individual countries.

Discussion

The sample populations in Mauritius and Zimbabwe were of a similar age and lived in similar sized households to those included in the previous South Africa study13; however, higher proportions of children lived in formal housing in both Mauritius and Zimbabwe than the informal housing19 studied in South Africa. Football was again the most popular sport for boys in both countries and also for girls in Mauritius; the most popular sport for girls in Zimbabwe was netball, which was a similar situation to that found in South Africa.13 Preintervention levels of health knowledge in Zimbabwe (58%) were similar to those observed in South Africa (53–57%), whereas the baseline levels of health knowledge in Mauritius (69%) were higher. In the few cases where health knowledge was significantly higher in Zimbabwe than in Mauritius, statements related to knowledge about communicable diseases that were of more concern in Zimbabwe than they were in Mauritius; namely, ‘mosquitoes spread malaria’; ‘cure for tuberculosis’; and ‘the right medication can help people with HIV to live longer’. Despite the differences between the two countries in preintervention health knowledge, similar levels of knowledge-enhancement (18%) were achieved with the programme in Mauritius and Zimbabwe, which was a higher level than that achieved in South Africa13 (14%). Although there were very few significant differences between boys and girls in either pre or postintervention knowledge-levels, for the few statements where there were significant differences, girls scored higher than boys in both countries. Three specific objectives linked to recommendations made by WHO were set for the study. The first objective, which was to implement and evaluate the ‘11 for Health’ programme in Mauritius and Zimbabwe, followed the recommendation from the first International Conference on Health Promotion for organisations to support countries in setting up strategies and programmes for health promotion.3 The intervention in Mauritius was achieved following discussions with and support from the Ministries of Health and Quality of Life, Education and Human Resources and Youth and Sport. This support facilitated the recruitment and training of physical education teachers from each of the participating schools and enabled the programme to be delivered within each school's timetable. Further government support was demonstrated as the Ministry of Education and Human Resources arranged for each child who completed the programme to attend a graduation ceremony at which ministers expressed their support for the continuation of the programme within Mauritius. The intervention in Zimbabwe extended the existing expertise and capacity of the non-government organisation to deliver football-based HIV/AIDS prevention programmes to a wider range of health issues. The ‘11 for Health’ programme has now been shown to be an effective way of increasing children's awareness and knowledge about a range of health issues within three different socioeconomic settings in Africa, using both in-school and out-of-school implementation strategies. The second objective of the study was to determine whether the football-based ‘11 for Health’ programme was as effective in delivering health messages to girls as it was to boys to support the WHO Global School Health Initiative of developing school-based health promotion programmes for boys and girls.4 The results from this study together with those reported previously for South Africa13 showed that the programme was as effective among girls as it was for boys. The high level of satisfaction with which boys in both countries received the programme might have been expected, as football was their most popular sports activity and the interventions took place at a time when media attention throughout Africa was focused strongly on the FIFA 2010 World Cup taking place in South Africa. However, the programme was equally well-received by girls in both countries, which probably reflects the universal popularity of football among children and the ease with which the girls found they could learn football skills on an equal basis with the boys. The third objective was to examine the potential for a non-governmental organisation and a national Football Association to deliver the ‘11 for Health’ programme in support of the recommendation following the fourth International Conference on Health Promotion to develop new forms of partnership for delivering health promotion programmes.3 In this context, the study demonstrated that with the appropriate infrastructure and support a non-government organisation and a national Football Association implemented equally successful health education interventions. There are strengths and weaknesses associated with this study. The studies in Mauritius and Zimbabwe involved sample populations that were four times larger than those used in South Africa, which demonstrated that the ‘11 for Health’ programme can be scaled up, to accommodate large numbers of children. Higher proportions of children successfully completed the programmes in Mauritius and Zimbabwe than was achieved in South Africa.13 The low drop out of children from the programme in Mauritius (3%) reflected the benefit of presenting the programme within a formal school environment in a country that places a high priority on primary and secondary education.20 Attendance levels at the weekly ‘11 for Health’ sessions were also high in both countries (Mauritius: 92%; Zimbabwe: 87%) and were similar to those reported previously for the study in South Africa13 (90–94%). These high attendance levels, especially in the out-of-school methodology adopted in Zimbabwe, are reflected in the high levels of satisfaction for the programme recorded in the postintervention course evaluations by both boys and girls. As discussed previously for the study in South Africa,13 implementing interventions of this nature as randomised control studies would be the preferred option; however, in a school environment this approach creates logistical and educational problems that are unacceptable for individual school governors at the local level and for governments at the national level. Despite this limitation, the results did provide positive outcomes, in terms of enhanced health knowledge, for each of the health issues covered in the ‘11 for Health’ programme; in both countries, statistically significant increases in the children's health knowledge was recorded for 26 of the 30 health statements included in the evaluation questionnaire. The intention in this study was to implement the same ‘11 for Health’ programme in both Mauritius and Zimbabwe; however, experience gained from this study indicated that in future interventions it would be beneficial to modify the programme content to match the major health concerns in individual countries. For example, in Mauritius malaria does not present a significant health concern whereas diabetes, and its associated sequelae of blood vessel, eye and kidney diseases, is a major concern. It was therefore concluded that, although the issue of diabetes was already included in the ‘11 for Health’ programme within the sessions on physical activity and balanced diet, future interventions in Mauritius and similar countries should include a session focusing solely on diabetes. While health knowledge is an important prerequisite for achieving changes in behaviour it is often a poor indicator of actual behaviour changes; in this context, it is intended in future studies to investigate changes in attitudes and intentions to change behaviour, as these are better indicators of future behaviour change.21 Having successfully scaled up the programme to accommodate several hundred children, the next stage in the evaluation of the ‘11 for Health’ programme will be to assess ways of training larger numbers of teachers so that the programme can be delivered to thousands of children in nationwide health education programmes. Communicable and non-communicable diseases are major causes of mortality in countries in Africa. Health knowledge supports changes in people's health behaviours. Few health education programmes have been evaluated for their effectiveness. The ‘11 for Health’ programme increased health knowledge among children aged 11–15 years in a township in South Africa. The ‘11 for Health’ programme was shown to be capable of successful implementation within school-based groups in collaboration with a national Football Association and within out-of-school groups in collaboration with a non-government organisation. The programme was shown to achieve significant increases in health knowledge among children aged from 10 to 15 years in Mauritius and Zimbabwe. Boys and girls benefited equally from the ‘11 for Health’ programme.
  8 in total

Review 1.  Waging war on modern chronic diseases: primary prevention through exercise biology.

Authors:  F W Booth; S E Gordon; C J Carlson; M T Hamilton
Journal:  J Appl Physiol (1985)       Date:  2000-02

2.  Cardiovascular health promotion in the schools: a statement for health and education professionals and child health advocates from the Committee on Atherosclerosis, Hypertension, and Obesity in Youth (AHOY) of the Council on Cardiovascular Disease in the Young, American Heart Association.

Authors:  Laura L Hayman; Christine L Williams; Stephen R Daniels; Julia Steinberger; Steve Paridon; Barbara A Dennison; Brian W McCrindle
Journal:  Circulation       Date:  2004-10-12       Impact factor: 29.690

3.  Promoting physical activity in children and youth: a leadership role for schools: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Physical Activity Committee) in collaboration with the Councils on Cardiovascular Disease in the Young and Cardiovascular Nursing.

Authors:  Russell R Pate; Michael G Davis; Thomas N Robinson; Elaine J Stone; Thomas L McKenzie; Judith C Young
Journal:  Circulation       Date:  2006-08-14       Impact factor: 29.690

Review 4.  Evidence for prescribing exercise as therapy in chronic disease.

Authors:  B K Pedersen; B Saltin
Journal:  Scand J Med Sci Sports       Date:  2006-02       Impact factor: 4.221

Review 5.  Prevention in the first place: schools a setting for action on physical inactivity.

Authors:  P-J Naylor; H A McKay
Journal:  Br J Sports Med       Date:  2008-10-29       Impact factor: 13.800

Review 6.  Recreational football as a health promoting activity: a topical review.

Authors:  P Krustrup; P Aagaard; L Nybo; J Petersen; M Mohr; J Bangsbo
Journal:  Scand J Med Sci Sports       Date:  2010-03-04       Impact factor: 4.221

Review 7.  Healthy hearts--and the universal benefits of being physically active: physical activity and health.

Authors:  Steven N Blair; Jeremy N Morris
Journal:  Ann Epidemiol       Date:  2009-04       Impact factor: 3.797

8.  'Football for Health'--a football-based health-promotion programme for children in South Africa: a parallel cohort study.

Authors:  Colin W Fuller; Astrid Junge; Jeff DeCelles; James Donald; Ryan Jankelowitz; Jiri Dvorak
Journal:  Br J Sports Med       Date:  2010-06       Impact factor: 13.800

  8 in total
  11 in total

1.  Using soccer to build confidence and increase HCT uptake among adolescent girls: A mixed-methods study of an HIV prevention programme in South Africa.

Authors:  Rebecca Hershow; Katherine Gannett; Jamison Merrill; Braunschweig Elise Kaufman; Chris Barkley; Jeff DeCelles; Abigail Harrison
Journal:  Sport Soc       Date:  2015-01-12

Review 2.  A Scoping Review of Sport-Based Health Promotion Interventions With Youth in Africa.

Authors:  Adam H Hansell; Peter R Giacobbi; Dana K Voelker
Journal:  Health Promot Pract       Date:  2020-04-08

3.  Planning and implementing a nationwide football-based health-education programme.

Authors:  Jiri Dvorak; Colin W Fuller; Astrid Junge
Journal:  Br J Sports Med       Date:  2011-12-05       Impact factor: 13.800

4.  Sporting programs for inactive population groups: factors influencing implementation in the organized sports setting.

Authors:  Linda Ooms; Cindy Veenhof; Nicolette Schipper-van Veldhoven; Dinny H de Bakker
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-06-03

5.  Twenty years of the FIFA Medical Assessment and Research Centre: from 'medicine for football' to 'football for health'.

Authors:  Jiri Dvorak; Astrid Junge
Journal:  Br J Sports Med       Date:  2015-05       Impact factor: 13.800

6.  A successful nationwide implementation of the 'FIFA 11 for Health' programme in Brazilian elementary schools.

Authors:  Colin W Fuller; Edilson S Thiele; Manoel Flores; Astrid Junge; Diogo Netto; Jiri Dvorak
Journal:  Br J Sports Med       Date:  2015-03-24       Impact factor: 13.800

7.  Acute Effects of Three Neuromuscular Warm-Up Strategies on Several Physical Performance Measures in Football Players.

Authors:  Francisco Ayala; Ana Calderón-López; Juan Carlos Delgado-Gosálbez; Sergio Parra-Sánchez; Carlos Pomares-Noguera; Sergio Hernández-Sánchez; Alejandro López-Valenciano; Mark De Ste Croix
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

Review 8.  Monitoring and evaluation of sport-based HIV/AIDS awareness programmes: Strengthening outcome indicators.

Authors:  Elma Nelisiwe Maleka
Journal:  SAHARA J       Date:  2017-12

9.  Factors shaping the HIV-competence of two primary schools in rural Zimbabwe.

Authors:  Catherine Campbell; Louise Andersen; Alice Mutsikiwa; Erica Pufall; Morten Skovdal; Claudius Madanhire; Connie Nyamukapa; Simon Gregson
Journal:  Int J Educ Dev       Date:  2015-03-01

10.  'FIFA 11 for Health' for Europe. II: effect on health markers and physical fitness in Danish schoolchildren aged 10-12 years.

Authors:  Christina Ørntoft; Colin W Fuller; Malte Nejst Larsen; Jens Bangsbo; Jiri Dvorak; Peter Krustrup
Journal:  Br J Sports Med       Date:  2016-04-29       Impact factor: 13.800

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