Do fast foods cause asthma, rhinoconjunctivitis and eczema? Global findings from the International Study of Asthma and Allergies in Childhood (ISAAC) Phase Three
- Philippa Ellwood1,
- M Innes Asher1,
- Luis García-Marcos2,
- Hywel Williams3,
- Ulrich Keil4,
- Colin Robertson5,
- Gabriele Nagel6,
- the ISAAC Phase III Study Group*
- 1Department of Paediatrics: Child and Youth Health, The University of Auckland, Auckland, New Zealand
- 2Respiratory Medicine and Allergy Units, ‘Virgen de la Arrixaca’ University Children's Hospital, University of Murcia, El Palmar, Murcia, Spain
- 3Centre for Evidence Based Dermatology, Queen's Medical Centre, University Hospital, Nottingham, UK
- 4Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms Universität, Münster, Germany
- 5Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- 6Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- Correspondence to Philippa Ellwood, Department of Paediatrics: Child and Youth Health, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Victoria Street West, Auckland 1142, New Zealand;
- Received 14 June 2012
- Revised 1 November 2012
- Accepted 23 November 2012
- Published Online First 14 January 2013
Background Certain foods may increase or decrease the risk of developing asthma, rhinoconjunctivitis and eczema. We explored the impact of the intake of types of food on these diseases in Phase Three of the International Study of Asthma and Allergies in Childhood.
Methods Written questionnaires on the symptom prevalence of asthma, rhinoconjunctivitis and eczema and types and frequency of food intake over the past 12 months were completed by 13–14-year-old adolescents and by the parents/guardians of 6–7-year-old children. Prevalence ORs were estimated using logistic regression, adjusting for confounders, and using a random (mixed) effects model.
Results For adolescents and children, a potential protective effect on severe asthma was associated with consumption of fruit ≥3 times per week (OR 0.89, 95% CI 0.82 to 0.97; OR 0.86, 95% CI 0.76 to 0.97, respectively). An increased risk of severe asthma in adolescents and children was associated with the consumption of fast food ≥3 times per week (OR 1.39, 95% CI 1.30 to 1.49; OR 1.27, 95% CI 1.13 to 1.42, respectively), as well as an increased risk of severe rhinoconjunctivitis and severe eczema. Similar patterns for both ages were observed for regional analyses, and were consistent with gender and affluence categories and with current symptoms of all three conditions.
Conclusions If the association between fast foods and the symptom prevalence of asthma, rhinoconjunctivitis and eczema is causal, then the findings have major public health significance owing to the rising consumption of fast foods globally.
What is the key question?
Are fast foods responsible for the increase in prevalence of asthma, rhinoconjunctivitis and eczema?
What is the bottom line?
Diet plays an important role in the development of asthma, rhinoconjuncitivits and eczema.
Why read on?
The global findings from this International Study of Asthma and Allergies in Childhood study provide information on modifiable risk factors that can inform future health prevention strategies.
Developed countries have experienced an increase in the symptom prevalence of non-communicable diseases of asthma, rhinitis and eczema in the past few decades1 ,2 and, as developing countries become more urbanized, these diseases appear to be increasing in prevalence.3–5 The incidence of many other non-communicable diseases has been linked to diet,6 and in 1990 there was a call for standardised multicountry studies of nutrition and disease.7 Many developing countries are moving away from the traditional diet of locally grown foods as they become more westernised.6 Migration and food aid (with increased consumption of processed foods) as well as the increased consumption of fast foods8 ,9 have been associated with the rapid increase in asthma prevalence, suggesting that these may bring potent modifiable environmental factors.10
An ecological analysis carried out using the International Study of Asthma and Allergies in Childhood (ISAAC) Phase One symptom prevalence data on asthma, rhinitis and eczema showed strong associations between a high intake of calories from cereal and rice and protein from cereal and nuts and decreased symptom prevalence of all three conditions, as well as a potential protective effect from increased fruit consumption.11 These findings were supported by other studies in children and an ecological study in adults.12 ,13 Numerous other studies have explored the relationship between diet and allergic diseases such as asthma, with hypotheses focusing on food content and airway inflammatory response,14 ,15 the protective effect of antioxidants,14 ,16 the harmful effects of linoleic acid17 and trans fatty acids,18 the benefits of oily fish consumption19 and the role of intestinal microflora in relation to the development of infant immunity and the possible consequences for allergic disease later in life.20 Current information on vitamins, minerals and prenatal diet21 and antioxidants22 show relationships between low levels of vitamins A and C and increased symptoms of asthma, and the beneficial effects of consuming a Mediterranean diet23–25 characterised by higher consumption of whole grain cereals, oily fish, wine, fruits, nuts, legumes and olive oil showing less evidence of hay fever, skin allergy and wheezing. An ecological study using ISAAC Phase Three data found an association between sugar consumption in the perinatal period and symptoms of severe asthma in 6–7-year-old children.26 Recent results of ISAAC Phase Two, including objective testing of atopy, supported the ecological findings of Phase One where, overall, more frequent consumption of fruit, vegetables and fish was associated with a lower lifetime prevalence of asthma and high burger consumption was associated with a higher lifetime asthma prevalence.8 ,27 This finding was supported by a recently published longitudinal study in Sweden.28 Maternal diet during pregnancy has the potential to influence fetal immune and airway development.29 ,30 Here we investigate the associations between the prevalence of current and severe symptoms of asthma, rhinoconjunctivitis and eczema and food intake over the past year in two age groups of school-aged children. This analysis builds on and provides further evidence for the association between food intake and the prevalence of asthma, rhinitis and eczema which was examined in the ISAAC Phase One ecological analysis and ISAAC Phase Two.11 ,27
ISAAC is a multicentre, multicountry, multiphase cross-sectional study. ISAAC Phase Three involved 13–14-year-old adolescents and 6–7-year-old children chosen from a random sample of schools in a defined geographical area.31 Phase Three used standardised core written questionnaires as well as an optional environmental questionnaire (EQ) (http://isaac.auckland.ac.nz) to test a number of specific aetiological hypotheses. A video with scenes of young people with clinical symptoms and signs of asthma was shown to the adolescent group and a questionnaire completed. Questionnaires were self-completed by adolescents and by parents of the children.
In this paper we focus on diet and current and severe symptoms of asthma, rhinoconjunctivitis and eczema. The question for current wheeze was ‘Have you (Has your child) had wheezing or whistling in the chest in the past 12 months?’. Severe symptoms of asthma were defined as participants who, in the past 12 months, had ≥4 attacks of wheeze or ≥1 night per week sleep disturbance from wheeze or wheeze affecting speech.32 For adolescents, a positive response to the question relating to the scene of a young person wheezing at rest ‘Has your breathing ever been like this in the past 12 months?’ was defined as ‘current wheeze (VQ)’. The questions for current symptoms of rhinoconjunctivitis were ‘In the past 12 months, have you (has your child) had a problem with sneezing or a runny or blocked nose when you (he/she) DID NOT have a cold or flu?’ and ‘In the past 12 months, has this nose problem been accompanied by itchy watery eyes?’. Symptoms of severe rhinoconjunctivitis were defined as participants who, in the past 12 months, had itchy watery eyes and who answered ‘a lot’ to their nose problems interfering with their daily activities. The questions for current symptoms of eczema were ‘Have you (Has your child) had this itchy rash at any time in the past 12 months?’ and ‘Has this itchy rash at any time affected any of the following places: the folds of the elbows, behind the knees, in front of the ankles, under the buttocks, or around the neck, ears or eyes?’. These questions were preceded by the question ‘Have you (Has your child) ever had an itchy rash coming and going for at least 6 months?’ Symptoms of severe eczema were defined as participants who, in the past 12 months, had sleep disturbance one or more times per week. The EQ diet questions were about foods that were possibly protective and/or risk factors for the development of asthma, rhinoconjuncitivits and eczema. The foods selected were hypothesis-driven, arising from the results of the ISAAC Phase One ecological analyses and were suitable for all ethnic groups.11 Respondents were asked: ‘In the past 12 months, how often, on average, did you (did your child) eat or drink the following: meat; seafood; fruit; vegetables (green and root); pulses (peas, beans, lentils); cereal; pasta (including bread); rice; butter; margarine; nuts; potatoes; milk; eggs and fast food/burgers?’. Centres were encouraged to include local names to define foods if necessary.
The three categories for food intake were: never or occasionally; once or twice per week; and ≥3 times per week. Adherence to the ISAAC protocol was assessed and centres with response rates of <70% for the adolescent group, <60% for the children and with <1000 participants for both age groups were excluded. Questionnaires were translated into 53 languages, back-translated into English and assessed for accuracy.33 Centres obtained their own funding and ethical approval.
Prevalence ORs34 were calculated from the individual level data using generalised linear mixed models with a binomial distribution and logit link, with the centres modelled as a random effect. The analyses were adjusted for gender, region of the world, language and per capita gross national income (categorised by the World Bank as low, lower-middle, upper-middle and upper).35 To remove any influence of sampling by school, we reduced the effective sample size from the school by dividing the number of pupils by the design effect.36 This reduced number was used in the regression analyses.
Further multiple regression analyses were conducted to investigate whether the associations between symptoms and diet were confounded by other risk factors for which information was collected in the EQ, and which had shown associations with symptoms in the univariate analyses. The covariates included were exercise, television watching, maternal education, maternal smoking in the first year of life (6–7-year age group only) and current maternal smoking. Centres were treated as simple random effects but region was included in the model as a fixed effect to account for the differences in level between regions. A further analysis using body mass index (BMI) as a confounder was undertaken. The final worldwide dataset comprised 233 centres in 97 countries with 798 685 adolescents and 144 centres in 61 countries with 388 111 children. Centres that had not undertaken the EQ were then excluded from the dataset, leaving a final EQ dataset of 122 centres in 54 countries with 361 599 adolescents and 75 centres in 32 countries with 220 407 children.
Data from 319 196 adolescents from 107 centres in 51 countries and 181 631 children from 64 centres in 31 countries were included in the diet analysis. Multivariate analyses with complete covariate data were subsequently undertaken, involving differing numbers of participants depending on the data available for the specific outcome and diet variables. For example, the analyses of current wheeze and consumption of fruit involved 246 545 adolescents from 90 centres in 42 countries and 143 775 children from 58 centres in 27 countries. The analysis using BMI as a confounder in the model and a subsequent sensitivity analysis showed no association between diet variables and symptom outcomes (data not shown), so BMI was omitted from the final model as the 46 centres for children and the 49 centres for adolescents that did not include the height and weight questions would have limited the dataset further. The key associations are shown in table 1 for adolescents and table 2 for children.
For all centres combined, fruit intake once or twice per week and ≥3 times per week was inversely associated with current wheeze (OR 0.90, 95% CI 0.83 to 0.97 and OR 0.87, 95% CI 0.81 to 0.94, respectively), severe asthma (OR 0.89, 95% CI 0.82 to 0.98 and OR 0.89, 95% CI 0.82 to 0.97), VQ ≥3 times per week (OR 0.85, 95% CI 0.77, 0.93) as well as current and severe rhinoconjunctivitis and severe eczema once or twice per week. Milk was inversely associated with current wheeze once or twice per week, severe asthma ≥3 times per week, VQ, current and severe rhinoconjunctivitis once or twice per week and current and severe eczema once or twice per week as well as ≥3 times per week for current eczema. Vegetable consumption was also inversely associated with current wheeze ≥3 times per week and VQ once or twice per week and ≥3 times per week. Online table 1 provides the regional, gender and affluence results for all food groups that show a similar pattern.
Risk factor foods
For all centres combined, a consistently positive association was observed between all three conditions (current and severe) and intake of butter, fast food, margarine and pasta ≥3 times per week. The strongest positive association was found between fast food ≥3 times per week and current wheeze (OR 1.08, 95% CI 1.03 to 1.13), severe asthma (OR 1.39, 95% CI 1.30 to 1.49), VQ (OR 1.24, 95% CI 1.14 to 1.34), current rhinoconjunctivitis (OR 1.21, 95% CI 1.14 to 1.34), severe rhinoconjunctivitis (OR 1.21, 95% CI 1.14 to 1.28), current eczema (OR 1.20, 95% CI 1.11 to 1.28) and severe eczema (OR 1.70, 95% CI 1.48 to 1.95). Seafood showed a positive association with severe asthma, current and severe rhinoconjunctivitis and current and severe eczema. Butter, margarine, nuts, pasta and pulses were positively associated with one or more conditions. This pattern was also evident when the results were examined by region, gender and affluence (see online table 1).
For all centres combined, eggs, fruit, meat and milk ≥3 times per week were inversely associated with all three conditions, current and severe. Cereal ≥3 times per week was inversely associated with severe asthma. Vegetables once or twice per week and ≥3 times per week were inversely associated with current and severe wheeze as well as current and severe rhinoconjunctivitis and ≥3 times per week with current eczema. These patterns were also evident when the results were examined by region, gender and affluence (see online table 2).
Risk factor foods
For all centres combined, fast food once or twice per week and ≥3 times per week was positively associated with current wheeze (OR 1.08, 95% CI 1.03 to 1.13 and OR 1.17, 95% CI 1.08 to 1.27, respectively) and severe asthma (OR 1.08, 95% CI 1.01 to 1.15 and OR 1.27, 95% CI 1.13 to 1.42), ≥3 times per week with current rhinoconjunctivitis (OR 1.20, 95% CI 1.11 to 1.31), severe rhinoconjunctivitis (OR 1.32, 95% CI 1.04 to 1.68) and severe eczema (OR 1.30, 95% CI 1.05 to 1.61). Online table 2 shows the association between food types at a regional level as well as for gender and affluence.
Figures 1⇓⇓⇓⇓⇓⇓⇓⇓⇓⇓–12 show the ORs for current and severe wheeze, rhinoconjunctivitis and eczema, respectively, in children for fast food and fruit for ‘≥3 times per week’ versus ‘never’ by centre and country (countries were excluded from the figures if the ORs calculated for all centres were extreme (≤0.01 or ≥100)). These figures show that, in the large majority of centres, there was a positive association between fast food and a protective association between fruit and the three diseases, although there is considerable variation for some foods between centres within countries.
This study has shown that, after controlling for potential confounders, fast food intake was consistently positively associated across all centres and many regions of the world with current and severe symptom prevalence of wheeze, rhinoconjunctivitis and eczema in adolescents and for males and females for affluent and non-affluent countries. For the children, the pattern was weaker but still positively associated with all centres (except for current eczema) and non-affluent countries (except for current and severe eczema). The positive association with severe disease suggests that fast foods are a predictor of disease severity rather than disease occurrence, although it is difficult to separate out the two in this study. Fruit showed a consistent inverse (protective) association in both age groups for all centres and current and severe wheeze and rhinitis in the adolescent group and for all three conditions (current and severe) for the children.
A consistent pattern for the adolescent group was found for the relationship between symptoms and fast foods and fruit with all centres and within regions and for the children between vegetables.
Similarities and differences between the two age groups
Fast food was the only food type to show the same associations across the two age groups. Such consistency adds some weight to the possible causality of the relationship, or it could simply reflect similar alternative explanations such as residual confounding. The associations were not found in as many regions of the world for children as for adolescents. This could reflect underlying factors affecting food intake between the two age groups, where adolescents have more independence, money and more control over their diet than younger children. The differing results between the age groups for some food groups was unsurprising because some validation studies of food frequency questionnaires in adolescents have revealed inconsistent results, potentially reflecting the negative attitude adolescents might have towards questionnaire surveys.37 Additionally, adolescents may be more exposed to nutrition transition than children,38 or it may be that there are biological differences between the three diseases in childhood and adolescence and/or different correlations between food items in younger and older children. However, as adolescents are generally known to be high consumers of fast food, these results that show a significant increased risk of developing each or all three conditions may be a genuine finding. In addition, our findings for this age group are consistent with two previous analyses which found positive associations between fast food consumption and prevalence of wheeze.8 ,9 Biologically plausible mechanisms for the relationship between fast food consumption and asthma and allergic disease could be related to higher saturated fatty acids, trans fatty acids, sodium, carbohydrates and sugar levels of fast food and possibly preservatives. An involvement of dietary fat intake in the pathophysiology of atopic diseases would be plausible because the composition of the ingested fatty acids is known to modulate immune reactions.39 Fast food is rich in industrially hydrogenated vegetable fats such as margarine which are dietary sources of trans fatty acids, and there is some evidence that dietary intake of trans fatty acids is associated with asthma and atopy.27
In adolescents, butter, margarine and pasta consumption were also positively associated with asthma prevalence. These results are consistent with the ecological study in ISAAC Phase One. Age-specific differences in the relationship between diet and disease could be related to different disease phenotypes.40 ,41 Further investigations are necessary to clarify age-specific patterns for these additional food types.
Regular fruit consumption was consistently significantly protective in most regions in the adolescent group for current and severe wheeze, VQ and current rhinitis, and in children consistently across all centres and for non-affluent countries and all three conditions (current and severe symptoms). This finding is consistent with the previous ISAAC ecological findings11 and other cross-sectional and cohort studies from mainly affluent countries. Among the biological mechanisms contributing to the favourable effect of fruit consumption on allergic diseases are antioxidants and other biologically active factors.42
Strengths and weaknesses
This is the first study on such a large scale to investigate the association between the consumption of food types and the prevalence of symptoms of asthma, rhinoconjunctivitis and eczema, and it is surprising that foods that were considered protective by our previous ecological study have not come out as strongly in this analysis. This may reflect the strong association between fast food and the three conditions in both age groups, whereas increased fast food consumption decreases consumption of protective food groups such as fruit and vegetables. However, these analyses (and the ISAAC Phase Two diet analysis) used individual data whereas the ISAAC ecological study used country level food intake because centre level data were unavailable. Thus, the ecological study findings of associations at the country level may have introduced complex biases when analysed against centre level symptoms, and therefore some caution is required in the interpretation of those results. In addition, the individual level associations are modelled within each centre, so any population level associations will not confound the findings reported here. However, when the findings at each level are consistent, as for fruit and vegetable consumption and for fast foods, a more coherent story emerges. Although for this analysis we were unable to distinguish between rural and urban residence from the descriptions of the sampling frame given, we believe that the majority of ISAAC centres are mainly urban so it is unlikely that urban/rural differences in access to fast food will have a major confounding influence.
Limitations of this study also need to be considered. Questionnaires were used to assess outcomes, which were self-completed by the adolescents and by the parents of the children. This might lead to misclassification which would reduce the chance of identifying associations but is unlikely to result in any systematic bias. Selection bias is also unlikely as the response rate from centres included in these analyses was high. It was possible to adjust for socioeconomic status at the country level only. Within countries, it is possible that socioeconomic status may be associated with consumption of the foods included in the EQ, particularly meat, vegetables, fast food and fruit. This association, if present, may confound the reported associations. Additionally, as temporal data are absent (or lacking), which is a characteristic of all cross-sectional studies, it was not possible to exclude the possibility that asthma, rhinoconjunctivitis and eczema symptoms led to changes in diet.
Our results suggest that fast food consumption may be contributing to the increasing prevalence of asthma, rhinoconjunctivitis and eczema in adolescents and children. For other foods, the picture for adolescents and children is less clear. However, in concordance with international dietary recommendations, diets that have a regular consumption of fruit and vegetables are likely to protect against asthma, allergic disease and other non-communicable diseases.
The positive association observed here between fast food intake and the symptom prevalence of asthma, rhinoconjunctivitis and eczema in adolescents and children deserves further exploration, particularly in view of the fact that fast food is increasing in popularity around the world. Equally, the protective association between fruit and vegetables and the three conditions should be further explored at country and regional levels.
We are grateful to the children and parents who participated and the coordination and assistance by the school staff is sincerely appreciated.
↵* Members of the ISAAC Phase Three Environmental Questionnaire Diet Study Group are listed at the end of the paper.
Collaborators ISAAC Phase Three Study Group.
ISAAC Steering Committee:N Aït-Khaled* (International Union Against Tuberculosis and Lung Disease, Paris, France); H R Anderson (Division of Community Health Sciences, St George's, University of London, London, UK); M I Asher (Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand); R Beasley* (Medical Research Institute of New Zealand, Wellington, New Zealand); B Björkstén* (Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden); B Brunekreef (Institute of Risk Assessment Science, Universiteit Utrecht, The Netherlands); J Crane (Wellington Asthma Research Group, Wellington School of Medicine, New Zealand); P Ellwood (Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand); C Flohr (St John's Institute of Dermatology, St Thomas’ Hospital, London, UK); S Foliaki* (Centre for Public Health Research, Massey University, Wellington, New Zealand); F Forastiere (Department of Epidemiology, Local Health Authority Rome, Italy); L García-Marcos (Respiratory Medicine and Allergy Units, ‘Virgen de la Arrixaca’ University Children's Hospital, University of Murcia, Spain); U Keil* (Institut für Epidemiologie und Sozialmedizin, Universität Münster, Germany); C K W Lai* (Department of Medicine and Therapeutics, The Chinese University of Hong Kong, SAR China); J Mallol* (Department of Paediatric Respiratory Medicine, University of Santiago de Chile, Chile); E A Mitchell (Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand); S Montefort* (Department of Medicine, University of Malta, Malta), J Odhiambo* (Centre Respiratory Diseases Research Unit, Kenya Medical Research Institute, Nairobi, Kenya, deceased); N Pearce (Department of Medical Statistics, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK); C F Robertson (Murdoch Children's Research Institute, Melbourne, Australia); A W Stewart (Population Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand); D Strachan (Division of Community Health Sciences, St George's, University of London, London, UK); E von Mutius (Dr von Haunerschen Kinderklinik de Universität München, Germany); S K Weiland (Department of Epidemiology, University of Ulm, Germany (deceased)); G Weinmayr (Institute of Epidemiology, University of Ulm, Germany); H Williams (Centre for Evidence Based Dermatology, Queen's Medical Centre, University Hospital, Nottingham, UK); G Wong (Department of Paediatrics, Prince of Wales Hospital, Hong Kong, SAR China). *Regional Coordinators.
ISAAC International Data Centre: M I Asher, T O Clayton, E Ellwood, P Ellwood, E A Mitchell (Department of Paediatrics: Child and Youth Health); A W Stewart (School of Population Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand).
ISAAC Principal Investigators: Argentina: C E Baena-Cagnani* (Córdoba), M Gómez (Salta); Barbados: M E Howitt* (Barbados); Belgium: J Weyler (Antwerp); Bolivia: R Pinto-Vargas* (Santa Cruz); Brazil: A J L A Cunha (Nova Iguaçu), L de Freitas Souza (Feira de Santana, Salvador, Vitória da Conquista); Cameroon: C Kuaban* (Yaounde); Canada: A Ferguson (Vancouver), D Rennie (Saskatoon); Chile: P Aguilar (South Santiago), L Amarales (Punta Arenas), L A V Benavides (Calama), A Contreras (Chiloe); China: Y-Z Chen* (Beijing, Tong Zhou), O Kunii (Tibet), Q Li Pan (Wulumuqi), N-S Zhong (Guangzhou); Colombia: G Aristizábal (Bogotá), A M Cepeda (Barranquilla), G A Ordoñez (Cali); CÃ'te d'Ivoire: B N Koffi* (Urban CÃ'te d'Ivoire); Ecuador: C Bustos (Guayaquil); Estonia: M-A Riikjärv* (Tallinn); Ethiopia: K Melaku (Addis Ababa); Fiji: R Sa'aga-Banuve (Suva); Finland: J Pekkanen* (Kuopio County); Former Yugoslav Republic of Macedonia: E Vlaski* (Skopje); Gabon: I E Hypolite* (Port-Gentil); Hong Kong: G Wong; Hungary: Z Novák (Szeged), G Zsigmond* (Svábhegy); India: S Awasthi (Lucknow), M Sabir (Bikaner), S K Sharma (New Delhi), V Singh (Jaipur), P S Suresh Babu (Davangere); Indonesia: C B Kartasasmita (Bandung), P Konthen (Bali), W Suprihati (Semarang); Iran: M-R Masjedi* (Rasht, Tehran); Isle of Man: A Steriu; Japan: H Odajima (Fukuoka); Kuwait: J A al-Momen; Kyrgyzstan: C Imanalieva* (Balykchi, Bishkek); Lithuania: J Kudzyte* (Kaunas); Malaysia: B S Quah (Kota Bharu), K H Teh (Alor Setar); Mexico: M Baeza-Bacab* (Mérida), M Barragán-Meijueiro (Ciudad de México), B E Del-Río-Navarro (Ciudad de México), R García-Almaráz (Ciudad Victoria), S N González-Díaz (Monterrey), F J Linares-Zapién (Toluca), J V Merida-Palacio (Mexicali Valley), N Ramírez-Chanona (Ciudad de México), S Romero-Tapia (Villahermosa), I Romieu (Cuernavaca); Morocco: Z Bouayad* (Boulmene, Casablanca, Marrakech); New Zealand: M I Asher* (Auckland), R MacKay (Nelson), C Moyes (Bay of Plenty), P Pattemore (Christchurch), N Pearce (Wellington); Nigeria: B O Onadeko (Ibadan); Panama: G Cukier* (David-Panamá); Peru: P Chiarella* (Lima); Philippines: F Cua-Lim* (Metro Manila); Poland: A Brêborowicz (Poznan), G Lis* (Kraków); Portugal: R Câmara (Funchal), J M Lopes dos Santos (Porto), C Nunes (Portimao), J Rosado Pinto* (Lisbon); Samoa: P Fuimaono (Apia); Singapore: D Y T Goh; South Africa: H J Zar* (Cape Town); South Korea: H-B Lee* (Provincial Korea, Seoul); Spain: A Blanco-Quirós (Valladolid), R M Busquets (Barcelona), I Carvajal-Urueña (Asturias), G García-Hernández (Madrid), L García-Marcos* (Cartagena), C González Díaz (Bilbao), A López-Silvarrey Varela (A Coruña), M M Morales Suárez-Varela (Valencia), E G Pérez-Yarza (San Sebastián); Sultanate of Oman: O Al-Rawas* (Al-Khod); Syrian Arab Republic: S Mohammad* (Tartous), Y Mohammad (Lattakia), K Tabbah (Aleppo); Taiwan: J-L Huang* (Taipei), C-C Kao (Taoyuan); Thailand: M Trakultivakorn (Chiang Mai), P Vichyanond* (Bangkok); Tokelau: T Iosefa*; USA: H H Windom (Sarasota); UK: M Burr (Wales, deceased), D Strachan (Surrey/Sussex); Uruguay: D Holgado* (Montevideo), M C Lapides (Paysandú); Venezuela: O Aldrey* (Caracas). *National Coordinators.
ISAAC Phase Three National Coordinators not identified above: Canada: M Sears; Chile: V Aguirre; Colombia: J Mallol (interim); Hong Kong: C K W Lai; India: J Shah; Indonesia: K Baratawidjaja; Isle of Man: H R Anderson; Japan: S Nishima; Singapore: B-W Lee.
Contributors All authors participated in the development, design, analysis and interpretation of this work and in the writing of the paper.
Funding The authors acknowledge and thank the many funding bodies throughout the world that supported the individual ISAAC centres and collaborators and their meetings. They particularly wish to thank the New Zealand funders who supported the ISAAC International Data Centre including the Asthma and Respiratory Foundation of New Zealand, AstraZeneca New Zealand, the Auckland Medical Research Foundation, Glaxo Wellcome New Zealand, the Hawke's Bay Medical Research Foundation, the Health Research Council of New Zealand, the Child Health Research Foundation, the New Zealand Lotteries Grants Board and the Waikato Medical Research Foundation. Also, international funding was received from the BUPA Foundation (grant number 36431) and from Glaxo Wellcome International Medical Affairs who supported the regional coordinating centres.
Competing interests None.
Ethics approval Each centre involved obtained ethical approval from their local ethics committee.
Provenance and peer review Not commissioned; internally peer reviewed.