Skip to main content

A cross sectional survey to estimate prevalence and associated factors of asthma on Reunion Island, Indian Ocean



Previous studies on asthma mortality and hospitalizations in Reunion Island indicate that this French territory is particularly affected by this pathology. Epidemiological studies conducted in schools also show higher prevalence rates in Reunion than in Mainland France. However, no estimates are provided on the prevalence of asthma among adults. In 2016, a cross-sectional survey was conducted to estimate the prevalence of asthma and to identify its associated factors in the adult population of Reunion Island.


A random sample of 2419 individuals, aged 18–44 years, was interviewed by telephone using a standardized, nationally validated questionnaire. Information was collected on the respiratory symptoms, description of asthma attacks and triggering factors for declared asthmatics, as well as data on the indoor and outdoor home environment. “Current asthma” was defined as an individual declaring, at the time of the survey, having already suffered from asthma at some point during his/her life, whose asthma was confirmed by a doctor, and who had experienced an asthma attack in the last 12 months or had been treated for asthma in the last 12 months. “Current suspected asthma” was defined as an individual presenting, in the 12 months preceding the study, groups of symptoms suggestive of asthma consistent with the literature.


The estimated prevalence of asthma was 5.4% [4.3–6.5]. After adjustment, women, obesity, a family member with asthma, tenure in current residence and presence of indoor home heating were associated with asthma. The prevalence of symptoms suggestive of asthma was 12.0% [10.2–13.8]. After adjustment, marital status, passive smoking, use of insecticide sprays, presence of mold in the home and external sources of atmospheric nuisance were associated with the prevalence of suspected asthma.


Preventive actions including asthma diagnosis, promotion of individual measures to reduce risk exposure as well as the development of study to improve knowledge on indoor air allergens are recommended.

Peer Review reports


The World Health Organisation (WHO) estimates that 235 million people around the world have asthma and that it led to 255,000 deaths in 2005 [1]. In Europe, the prevalence of asthma decreases from north to south. The United Kingdom and Ireland are particularly affected, with prevalences surpassing 30%. France falls into the middle of the range [2]. However, prevalences in the French overseas departments exceed the national average [3]. Reunion, a French overseas department, an island in the Indian Ocean with an area of 2512-km2 and a population of 850,996 (2016 population estimate based on the French National Institute of Statistics and Economic Studies (INSEE) census). Previous studies have indicated that the area is particularly affected by asthma. Adjusting for age and gender, asthma mortality rates are 3 to 5 times higher than in mainland France and hospitalisations for asthma are twice as common [4,5,6]. School-based studies have shown that Reunion is one of the regions with the highest prevalences among both young children and adolescents [7, 8].

However, information on the prevalence of asthma among the general adult population has been lacking. For this reason, a cross sectional survey was conducted in 2016 to estimate the prevalence of asthma in the general population of adults aged between 18 and 44 years living in Reunion. The secondary objectives of the study were to describe the characteristics of asthmatic patients and of individuals with symptoms suggestive of asthma, and to study how the domestic environment affects the risk of asthma in order to improve prevention strategies, particularly individual-level measures.


Study population

Between 8th February and 1st June 2016 a phone survey was conducted amongst a random and representative sample of individuals aged between 18 and 44 years. People under the age of 18 were excluded because there was already data available on asthma in children and adolescents in Reunion [7, 8]. People over 44 years were excluded in order to reduce the risk of misclassification of asthma symptoms as those of chronic obstructive pulmonary disease (COPD), which is more common among older smokers. The questionnaire primarily included questions from the European Community Respiratory Health Survey (ECRHS) [9] and the Epidemiological study on the Genetics and Environment of Asthma (EGEA) [10]. The questionnaire was developed in conjunction with respiratory and allergy medical specialists in Reunion.

The target population was stratified into two groups. The first group consisted of individuals who resided in households equipped with a landline telephone, while the second group was composed of individuals residing in households equipped with a mobile phone but no landline telephone (the “only mobile” group). The proportion of interviewees from each group (70% from the landline group and 30% from the only mobile group) was determined based on reference statistics [11]. Sampling involved dialling randomly generated telephone numbers in order to include people not listed in the phone book for the landline group and clients from the different local mobile operators for the mobile phone group. Telephone numbers that did not lead to an interview (e.g. due to non-response, refusal, unavailability, inaccessibility, non-eligibility) were replaced by successive incrementing. The replacement of an unsuccessful number due to non-response only occurred after repeated calls, set at a minimum of 8 attempts, at different times of the day and days of the week.

In responding households with more than one eligible household member, the household composition was recorded, and a random draw undertaken to select the person to be interviewed. The questionnaires were administered in French and Creole by trained investigators, using ASKIA software, and the CATI (computer-assisted telephone interview) system. The questionnaire included questions about sociodemographics (e.g. gender, age, commune of residence, level of education, and place of birth), anthropometrics (e.g. height, weight, and body mass index (BMI)), smoking habits, chronic health problems and diseases, symptoms suggestive of asthma, asthma attacks and trigger factors, and the interviewees’ home environment (both interior and exterior). In order to reduce the reporting bias, asthma was not mentioned at the beginning of the interview. Investigators introduced the questionnaire as a general survey on health and the home environment. All questions relating to symptoms were asked prior to the investigators mentioning asthma itself.

Case definitions

- Current asthma: any person reporting ever receiving a diagnosis of asthma from a doctor, and who had experienced an asthma attack or was treated for asthma in the preceding 12 months.

- Suspected current asthma: Any person reporting one or more groups of symptoms suggestive of asthma consistent with the literature in the preceding 12 months (wheezing, resting, nocturnal and exertion dyspnea, nocturnal respiratory discomfort, nocturnal cough) [12] but not classified as asthmatic according to the definition of current asthma.

Data analysis

The estimators produced were consistent with the sampling design (stratification, sampling weights, primary sampling units). Additionally, post-stratification weighting was implemented, using the “Reweight Iterative Method”, to adjust estimates to the population age and gender distribution obtained from the INSEE 2013 census of the population. These estimates were calculated along with their 95% confidence intervals (CI) taking into account the adjustment made to the sample and its impact on increasing the variance of the proportion estimator. Chi-square tests were used to compare proportions between groups. Univariate analysis was used to calculate odds ratios and their 95% CI estimated by the Woolf method.

Data were analysed using Xlstat and R software. Multivariate analysis using logistic regression models was undertaken to identify the factors associated with current asthma and suspected asthma.

In each model, a pre-selection of explanatory variables was conducted by reviewing all variables considered as risk factors for asthma (e.g. gender, age, smoking, BMI, having a family member with asthma) as well as variables that could potentially be associated with asthma (such as the home environment). At the end, 23 explanatory variables were chosen to be tested in each model. The glmulti library in the R software was then used for an initial selection of variables through the likelihood ratio test and the Akaike information criterion. The first order interactions were then added to the initial models and an exhaustive selection of models was conducted with the glumult algorithm.


At the time of the survey, French regulations did not require the approval of an ethics committee for observational studies that did not include performing acts or using products on the participants, as was the case for this study. The study protocol was approved by an internal expert committee (CCEP) of the French Public Health Agency. In addition, a declaration was made to the National Commission on Informatics and Freedoms (CNIL) in accordance with the Data Protection Act.

Contacted households and selected participants were informed that participation was optional and about their rights of access, rectification and opposition to the data concerning them.


The final sample consisted of 2419 individuals, including 1706 individuals in the “landline” group and 713 individuals in the “only mobile” group. Achieving these required more than 4700 call hours and more than 208,000 telephone calls (including false numbers, non-responses, ineligibility, refusals). A total of 6939 interviews were started, i.e. the phone was answered and information on household composition collected. The cessation of 4338 interviews was mainly due to two reasons: the absence of persons aged 18–44 in the household (2855 cases) and the selection of a participant not available at the time of the call (1271 cases). The interview was ceased due to refusal to participate in 212 calls. In addition, 182 interviews were ceased during the interview following the participant’s refusal to continue. These incomplete questionnaires were not included in the analysis. Amongst valid questionnaires, the response rate to individual questions was high (greater than 95%). Throughout the survey, quality checks of the interviews were regularly carried out by the supervisor responsible for monitoring the study.

The average age of participants was 34 years old [18 to 44 years old]. The sample was comprised of 47.3% men and 52.7% women, with a gender ratio of 0.81 (Table 1).

Table 1 Sociodemographic profile of respondents, Reunion, 2016

Prevalence of current asthma

The estimated prevalence of current asthma was 5.4% [4.3–6.5] among the population of individuals aged between 18 and 44 years living in Reunion (Table 2).

Table 2 Observed prevalence and estimation of the current prevalence of asthma, Reunion, 2016

The prevalence was higher in women (7.0%; 95% CI: 2.2–4.8) than in men (3.5%; 95% CI: 5.4–8.6) (p < 0.0001) across all age groups. Women aged between 18 and 24 years were most affected, with a prevalence of 9.8% (95% CI: 5.8–13.8).

The prevalence of current asthma did not vary significantly according to the occupational status, socio-professional category, level of education, place of birth and/or the number of years the person had lived on Reunion Island, or the place of employment. Obesity (defined as a BMI greater than or equal to 30 kg/m2) was related to asthma, with a prevalence of 8.3% (95% CI: 4.7–11.9) versus 5.4% (95% CI: 4.0–6.8) among people with a normal body mass (a BMI of 18.5 to 24.9 kg/m2). (Odd Ratio (OR): 1.59; 95% CI: 1.00–2.52). Those with an immediate family member diagnosed with asthma had a higher prevalence of asthma of 8.3% (95% CI: 5.9–10.1) compared to a prevalence rate of 3.6% for those without a family history (95% CI: 2.5–4.7), OR: 2.33 (95% CI: 1.62–3.35).

Regarding domestic environmental factors, univariate analyses showed that the prevalence of asthma was higher amongst those living in their current residence for less than 5 years (OR: 3.56; 95% CI: 1.77–7.64). The prevalence was significantly higher when there was a reported source of moisture in immediate proximity to the residence (less than 10 m) (OR: 1.71; 95% CI: 1.18–2.47). Similarly, having obstructed air vents in the home was associated with a higher prevalence (OR: 3.95; 95% CI: 1.72–9.06). The presence of mould, moist spots, or fungus in the home was associated with a higher prevalence of asthma (OR: 1.54; 95% CI: 1.08–2.19). The permanent presence of cockroaches (defined as sightings every, or almost every day) was also associated with a higher prevalence (OR: 2.33; 95% CI: 1.27–4.28).

The results of the multivariate analysis adjusted by age are shown in Table 3.

Table 3 Risk factors for current asthma (multivariate), Reunion, 2016

After adjustment, the prevalence of asthma was higher among women than men and among people who reported having family members with asthma and those living in homes with heating. However, the prevalence decreased with length of time in the current home.

Prevalence of suspected asthma

The prevalence of persons who reported experiencing the symptoms suggestive of asthma in the last 12 months was estimated to be of 12.0% (95% CI: 10.2–13.8%). Among these, 8.8% did not meet the definition of current asthma. This is important because it suggests that a large percentage of people with symptoms suggestive of asthma have not been diagnosed. In addition, 2.2% of those who met the definition of current asthma did not experience any symptoms suggestive of asthma in the last 12 months. Overall, 14.2% (95% CI: 12.3–16.1) of all people aged between 18 and 44 years reported having current asthma or the symptoms suggestive of asthma.

The prevalence of suspected current asthma was slightly higher in women (9.7%; 95% CI: 7.8–11.6) than in men (7.9%; 95% CI: 6.0–9.8), though the difference was not statistically significant (p = 0.120). Univariate analysis showed that the prevalence of suspected current asthma did not vary significantly according to occupational status, socio-professional category, level of education, place of birth and/or the number of years the person has been living in Reunion, or the place of residence or employment. The main risk factors for suspected asthma were obesity (OR: 1.52; 95% CI: 1.02–2.28), being underweight (OR: 1.76; 95% CI: 1.07–2.92), having an immediate family member with asthma (OR: 1.70; 95% CI: 1.28–2.26), being around regular smokers (OR: 1.34; 95% CI: 1.01–1.78), and marital status, with a higher prevalence amongst single, divorced, or widowed persons than for those who were married, in a civil union, or cohabitating (OR: 1.73; 95% CI: 1.27–2.36).

The results of univariate analyses on environmental factors showed that the presence of mould, moisture, or fungi in the home was associated with a higher prevalence of suspected asthma: 12.0% (95% CI: 9.4–14.6) versus 7.9% (95% CI: 6.3–9.5), (p = 0.0015), (OR: 1.58; 95% CI: 1.18–2.10). Similarly, the presence of cockroaches was associated with a higher prevalence of suspected asthma, with the prevalence increasing with the frequency of sightings (Table 4).

Table 4 Frequency of cockroach sightings in the home and prevalence of suspected asthma, Réunion, 2016

Regular use (defined as every day or almost every day) of insecticide sprays within the residence was also associated with a higher prevalence of suspected asthma: 22.8% (95% CI: 12.6–33.0), (p < 0.0001), OR: 3.22 (95% CI: 1.86–5.55) compared to those not using sprays regularly: 8.6% (95% CI: 6.3–10.9).

The results of the multivariate analysis are shown in Table 5.

Table 5 Risk factors of suspected asthma (multivariate), Reunion, 2016


The prevalence of current asthma amongst 18 to 44 years olds in Reunion, estimated at 5.4% (95% CI: 4.3–6.5), is similar to the previously published prevalence in mainland France of 6.0% (95% CI: 5.7–6.4) amongst individuals over 15 years in a 2003 national health survey [2] and 7.1% amongst those aged over 15 years in the 2012 Institute for Research and Documentation in Health Economics (IRDES) study [13]. Other studies show clear differences in the prevalence of asthma in young children between the two territories [2, 3, 7, 8]. This result raises the hypothesis that the percentage of children on Reunion Island whose asthma has resolved by adolescence is greater than in mainland France. This possibility merits further examination through complementary studies.

However, the case definition for current asthma used in this survey was more restrictive than those used in other national studies since, in addition to an asthma attack and/or treatment during the last 12 months, it included a diagnosis of asthma by a doctor and the criteria of having previously suffered from asthma during the person’s life. Therefore the prevalence in Reunion might have been underestimated due to the more specific case definition.

To compare with the situation in neighboring countries we looked at the results of the world heath survey implemented in 2002–2003 by the WHO in 70 member states. Individuals aged 18 to 45 years responded to questions related to asthma and related symptoms. This study did not use a definition of current asthma close to our but used the following definition for symptoms of asthma: asthma diagnosed by a doctor, and/or a positive response in either of two questions “Have you ever been treated for asthma ”or "Have you been taking any medications or treatment for asthma during the last 2 weeks and/or a positive response to “During the last 12 months have you experienced attacks of wheezing or whistling breath?”. The prevalence of asthma symptoms was 12.85 in Comoros, 12.40 in South Africa and 6.88 in Mauritius [14]. Although the definitions are not similar, it appears that the prevalence of asthma symptoms in Comoros and South Africa are close to the prevalence of suspected asthma in Reunion (12%) but nearly 2 times lower in Mauritius.

We found a higher prevalence of asthma in women than in men, as well as a correlation with obesity, results which have been frequently described in the literature [9, 15,16,17,18]. The higher prevalence of asthma among people with a family member with asthma (8.0% versus 3.6%) is consistent with our current knowledge and understanding of the role of genetic factors in the development of asthma [19].

The association between the asthma and the number of years the person has been living in his/her current residence is more complex to understand. The possibility of new furniture being a source of allergens or irritants was suggested. Univariate analysis indicated an association between the presence of moist spots and mould inside the home and the prevalence of asthma (though not a statistically significant factor in the logistic regression model). Many studies have found that traces of moisture in the home are linked to symptoms of asthma, but are also considered as a risk factor for asthma attacks and are suspected of affecting the long-term management of asthma [20,21,22,23,24,25,26,27,28,29]. The univariate analysis also revealed that other variables related to the presence of moisture and ambient temperature within the home, such as having obstructed air vents, a heater, or sources of moisture nearby were linked to asthma.

The presence of cockroaches is also associated with a higher prevalence of asthma, and displays a dose-response relationship. This result is consistent with previous studies [30,31,32,33].

We also found that suspected asthma shares some common risk factors with current asthma (such as obesity, having family members with asthma, passive smoke, the presence of mould or moisture in the home, and the presence of cockroaches). The prevalence of suspected asthma varied according to marital status and appeared to be higher among single, divorced, and widowed people. The result is in keeping with the results of the Health and Social Protection Survey (ESPS) conducted by IRDES in 2006 which found a prevalence of current asthma of 7.9% (6.8–9.0) among people living alone compared to 6.1% (5.3–6.9) among couples with no children, and 6.6% (6.1–7.1) among couples with children [14]. As with obesity, marital status is probably related to socioeconomic factors. In general, single-parent families tend to have a lower standard of living and are more likely to suffer from poverty.

Several environmental factors appear to be connected to the prevalence of suspected asthma (such as living close to a very busy road, a water treatment plant, or a source of harmful substances or air pollution). One particularly interesting factor identified in this study concerns the use of insecticide sprays at home, with more frequent use being associated with a higher prevalence of suspected asthma. Similar results can be found in the literature regarding the link between the use of home aerosolised cleaning products and asthma or other respiratory symptoms [34, 35]. This result is important in Reunion given the permanent risk posed by arboviruses outbreak and regular advice on preventing mosquitos’ bites [36, 37]. The result should be shared with health authorities in order to promote other methods of protection against insects (including mosquitoes) inside homes.

Our study has a number of limitations. The sampling methods excluded individuals with no landline or mobile phone, a group that makes up only a small portion (estimated at 3%) of the study population. The method used for selecting the interviewees partly consisted of repeating the random call back process to generate the required sample sizes for both categories of respondents (landline and only mobile); this may have introduced a selection bias insofar as the most available individuals were favoured for selection.

The study was conducted from the beginning of February to the end of May, outside the Austral winter (June to September) which may have led to an underestimation of the prevalence as individuals might have been more inclined to report asthma symptoms during the colder months. However, the questionnaire asked about asthma attacks, treatments or symptoms experienced in the preceding 12 months, thereby including the Austral winter period.

The prevalence estimates do not rely on a confirmed medical diagnosis including pulmonary function tests, but rather on self-reported symptoms or the prescription of medical treatment for asthma. For this reason, the classification is subject to possible reporting biases, especially regarding exposure to risk factors, which depends on the participants’ status and ability to recollect past events. In order to reduce the reporting bias for asthma, all questions relating to symptoms were asked before mentioning asthma itself. Since the profile of those who refused to participate and the reasons for non-participation are unknown, it was impossible to compare respondents and non-respondents to assess the impact of any non-response bias.

Furthermore, data about risk factors such as exposure to air pollution or allergens at home were not collected through objective measurements of air quality or allergy tests (such as skin prick tests or IgE blood tests), but rather relied on answers to questions about environmental characteristics.

Despite these limitations, this epidemiological study using standardised questionnaires and definitions comparable to those used in other national and international studies, enables us to compare the prevalence of asthma in Reunion with others published studies, and will be of value to health authorities and healthcare professionals.


The results of this first survey on the prevalence of asthma in the adult population of Reunion Island provides novel information on the characteristics of asthmatic patients and on the environmental factors associated with diagnosed asthma and suspected asthma in this French territory.

One of the major findings of this study is the proportion of individuals with suspected asthma who have not been medically diagnosed with asthma and who are not receiving any treatment. Consequently, we recommend the development of a strategy in conjunction with general practitioners to improve the diagnosis of asthma on Reunion, based on the support of general practitioners. Ongoing care and therapeutic education of diagnosed persons is also needed to reduce the burden of the disease.

The results are also consistent with the literature regarding the links between asthma and environmental factors, such as the presence of moisture or cockroaches, and the use of insecticide sprays at home. These factors are important as exposure is common in tropical climates such as that in Reunion.

In terms of prevention, individual protection measures can be recommended, such as aerating and ventilating homes to reduce indoor moisture and mould growth, maintaining hygiene standards through cleaning, proper storage of foods to mitigate against insects or cockroaches, and limiting the use of spray insecticides and household cleaning sprays at home.

Metrological studies for air inside homes should be considered in cooperation with indoor environment medical advisers (a relatively new profession in Reunion) in order to improve our understanding of allergens present in domestic environments in tropical areas.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Body Mass Index


Computer Assisted Telephone Interview


Internal expert committee of The French Public Health Agency for project evaluation


Confidence Interval


National Commission on Informatics and Freedoms


Chronic Obstructive Pulmonary Disease


European Community Respiratory Health Survey


Epidemiological study on the Genetics and Environment of Asthma


Health and Social Protection Survey


French National Institute of Statistics and Economic Studies


Institute for Research and Documentation in Health Economics


Odd Ratio


World Health Organisation


  1. 1. Date of access: April 10 2018.

  2. 2.

    Delmas M-C, Furhman C. L’asthme en France : synthèse des données épidémiologiques descriptives. Rev Mal Respir. 2010;27:151–9.

    Article  Google Scholar 

  3. 3.

    Delmas M-C, Guignon N, Leynaert B, Com-Ruelle L et al. Prévalence de l’asthme chez l’enfant en France. Archives de pédiatrie 2009. Vol. 16, n° 9 : 1261–1269.

    Article  Google Scholar 

  4. 4.

    Solet J-L, Catteau C, Nartz E, Ronat J, Delmas M-C. Epidémiologie de l’asthme à La Réunion : analyse de la mortalité (1990-1998) et de la morbidité hospitalière (1998-2002). Bull Epidemiol Hebd 2006. 2006;31:232–4.

    Google Scholar 

  5. 5.

    Fuhrman C, Nicolau J, Rey G, Solet J-L, Quenel P, Jougla E, et al. Asthme et BPCO : taux d’hospitalisation et de mortalité dans les départements d’outre-mer et en France métropolitaine, 2005-2007. Bull Epidemiol Hebd. 13(14):168–72.

  6. 6.

    Prevot L, Dalleau-Passarelli N, Soulas A, Trevidic E. Prise en charge médicale des patients asthmatiques : enquête de pratique auprès d’assurés sociaux et de médecins de la Réunion. Rev Med Ass Maladie. 2003;34:3–13.

    Google Scholar 

  7. 7.

    Martignon G, Catteau C, Debotte G, Duffaud B, Lebot F, Annesi-Maesano I. Allergies infantiles à l’île de La Réunion : existe-t-il des différences avec la métropole ? Rev Epidemiol Santé Publique. 2004;52:127–37.

    CAS  Article  Google Scholar 

  8. 8.

    Delmas M-C, Guignon N, Leynaert B, Annesi-Maesano I, Com-Ruelle L, Gonzales L, et al. Prévalence et contrôle de l’asthme chez le jeune enfant en France. Rev Mal Respir. 2012;29:688–96.

    Article  Google Scholar 

  9. 9.

    Burney PG, Luczynska C, Chinn S, Jarvis D. The European Community respiratory health survey. Eur Respir J. 1994;7:954–60.

    CAS  Article  Google Scholar 

  10. 10.

    Kauffmann F, Annesi-Maesano I, Liard R, Paty E, Faraldo B, Neukirch F, et al. Construction et validation d’un questionnaire en épidémiologie respiratoire. L’exemple du questionnaire de l’Etude Epidémiologique des facteurs Génétiques et Environnementaux de l’Asthme, l’hyperréactivité bronchique et l’atopie (EGEA). Rev Mal Respir. 2002;19:323–33.

    CAS  PubMed  Google Scholar 

  11. 11.

    Equipements en communications électroniques et audiovisuels des ménages et des individus La Réunion In: l’Autorité de Régulation de Communication Electronique et des Postes. Site disponible sur:

  12. 12.

    Sistek D, Tschopp JM, Schindler C, Brutsche M, Ackermann-Liebrich U, Perruchoud AP, et al. Clinical diagnosis of current asthma: predictive value of respiratory symptoms in the SAPALDIA study. Swiss Study on Air Pollution and Lung Diseases in Adults. Eur Respir J. 2001;17(2):214–9.

    CAS  Article  Google Scholar 

  13. 13. Date of access : November 10 2017.

  14. 14.

    To, et al. Global asthma prevalence in adults: findings from the cross-sectional world health survey. BMC Public Health. 2012;12:204.

    Article  Google Scholar 

  15. 15.

    Afrite A, Allonier C, Com-Ruelle L, Le Guen N. L’asthme en 2006 : prévalence, contrôle et déterminants. IRDES, vol. 117; 2011.

    Google Scholar 

  16. 16.

    Moffatt MF, Gut IG, Demenais F, Strachan DP, Bouzigon E, Heath S, et al. A large-scale, consortium-based Genomewide association study of asthma. N Engl J Med. 2010;363:1211–21.

    CAS  Article  Google Scholar 

  17. 17.

    Boulet L-P. Asthma and obesity. Clin Exp Allergy. 2013;43:8–21.

    Article  Google Scholar 

  18. 18.

    Sutherland ER. Linking obesity and asthma. Ann N Y Acad Sci. 2014;1311:31–41.

    CAS  Article  Google Scholar 

  19. 19.

    Trunk-Black Juel C, Suppli Ulrik C. Obesity and asthma: impact on severity, asthma control, and response to therapy. Respir Care. 2013;58:867–73.

    Article  Google Scholar 

  20. 20.

    Zock JP, Jarvis D, Luczynska C, Sunyyer J, Burney P. Housing characteristics, reported mold exposure, and asthma in the European community respiratory health survey (ECRHS). J Allergy Clin Immunol. 110:285–92.

    Article  Google Scholar 

  21. 21.

    Sharpe RA, Bearman N, Thornton CR, Husk K, Osborne NJ. Indoor fungal diversity and asthma: a meta-analysis and systematic review of risk factors. J Allergy Clin Immunol. 2015;135:110–22.

    Article  Google Scholar 

  22. 22.

    Mendell MJ, Mirer AG, Cheung K, Tong M, Douwes J. Respiratory and allergic health effects of dampness, mold, and dampness-related agents: a review of the epidemiologic evidence. Environ Health Perspect. 2011;119:748–56.

    CAS  Article  Google Scholar 

  23. 23.

    Kilpelainen M, Terho EO, Helenius H, Koskenvuo M. Home dampness, current allergic diseases, and respiratory infections among young adults. Thorax. 2001;56:462–7.

    CAS  Article  Google Scholar 

  24. 24.

    Evans J, Hyndman S, Stewart-Brown S, Smith D, Petersen S. An epidemiological study of the relative importance of damp housing in relation to adult health. J Epidemiol Community Health. 2000;54:677–86.

    CAS  Article  Google Scholar 

  25. 25.

    Williamson IJ, Martin CJ, McGill G, Monie RDH, Fennerty AG. Damp housing and asthma: a case-control study. Thorax. 1997;52:229–34.

    CAS  Article  Google Scholar 

  26. 26.

    Pirhonen I, Nevalainen A, Husman T, Pekkanen J. Home dampness, moulds and their influence on respiratory infections and symptoms in adults in Finland. Eur Respir J. 1996;9:2618–22.

    CAS  Article  Google Scholar 

  27. 27.

    Brunekreef B. Damp housing and adult respiratory symptoms. Allergy. 1992;47:498–502.

    CAS  Article  Google Scholar 

  28. 28.

    Dales RE, Burnett R, Zwanenburg H. Adverse health effects among adults exposed to home dampness and molds. Am Rev Respir Dis. 1991;143:505–9.

    CAS  Article  Google Scholar 

  29. 29.

    Platt SD, Martin CJ, Hunt SM, Lewis CW. Damp housing, mould growth, and symptomatic health state. BMJ. 1989;298:1673–8.

    CAS  Article  Google Scholar 

  30. 30.

    Arruda LK, Vailes LD, Ferriani VP, Santos AB, Pomés A, Chapman MD. Cockroach allergens and asthma. J Allergy Clin Immunol. 2001 Mar;107(3):419–28.

    CAS  Article  Google Scholar 

  31. 31.

    Arruda LK, Chapman MD. The role of cockroach allergens in asthma. Curr Opin Pulm Med. 2001 Jan;7(1):14–9.

    CAS  Article  Google Scholar 

  32. 32.

    Sastre J, Ibanet MD, Lombardero M, Laso MT, Lehrer S. Allergy to cockroaches in patients with asthma and rhinitis in an urban area (Madrid). Allergy. 1996;51(8):582–6.

    CAS  Article  Google Scholar 

  33. 33.

    Fraser BN. Cockroaches in relation to bronchial asthma in the Durban area. S Afr Med J. 1979 Apr 14;55(16):637–8.

    CAS  PubMed  Google Scholar 

  34. 34.

    Le Moual N, Varraso R, Siroux V, Dumas O, Nadif R, Pin I, et al. Domestic use of cleaning sprays and asthma activity in females. Eur Respir J. 2012;40:1381–9.

    Article  Google Scholar 

  35. 35.

    Bédard A, Varraso R, Sanchez M, Clavel-Chapelon F, Zock J-P, Kauffmann F, et al. Cleaning sprays, household help and asthma among elderly women. Respir Med. 2014;108:171–80.

    Article  Google Scholar 

  36. 36.

    D’Ortenzio E, Balleydier E, Baville M, Filleul L, Renault P. Dengue fever in the Reunion Island and in South Western islands of the Indian Ocean. Med Mal Infect. 2011.

  37. 37.

    Renault P, Solet JL, Sissoko D, Balleydier E, Larrieu S. Filleul, et al. a major epidemic of chikungunya virus infection on Reunion Island, France, 2005–2006. Am J Trop Med Hyg. 2007;77:727–31.

    Article  Google Scholar 

Download references


We would like to thank Drs Fabrice Paganin and Virgile Gazaille, hospital pulmonology practitioners at the University Hospital of Reunion, as well as Dr. Salem Atoui, liberal allergist and Dr. Marc Di Francia, liberal pulmonologist for their advice during the development of the survey questionnaire.


The entire study was funded by the Indian Ocean Health Agency. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information




JLS wrote the study protocol, presented the project for approval to the internal expert committee (CCEP) of The French Public Health Agency, constituted and led the follow-up committee, monitored the implementation of the project and drafted the manuscript. C R-S was a member of the follow-up committee of the study. As an expert in the field of asthma she made substantial contributions to the analysis and interpretation of the data collected. EM provided technical support to the development of the project: drafting the study protocol, sampling design, project monitoring. He was also a member of the follow-up committee. YLS was a member of the follow-up committee. As a statistician of The French Public Health Agency, he provided valuable advice on sampling and data analysis methods. AG was a member of the follow-up committee. She made substantial contributions to the conception and design of the survey. EB trained the investigators of the survey, implemented the sampling procedure and supervised the collection of the data. He also participated in the data analysis. NJ performed the multivariate analyses of the data and was a major contributor in revising the manuscript. LF was a member of the follow-up committee. He was involved in critically revising the manuscript and, as head of the Indian Ocean Region Regional Office of the French Public Health agency, supervised the work of the project manager and corresponding author. All authors read and approved the final manuscript.

Corresponding author

Correspondence to J-L. Solet.

Ethics declarations

Ethics approval and consent to participate

At the time of the survey, the French law in force did not require the consultation of an ethics committee for this type of observational study that does not include any acts performed or products used on the participants. Until the decree n° 2016–1537 of November 16, 2016 modifying the law n° 2012–300 of March 5, 2012 relating to research on human subjects (Jardé law), this consultation was required only for biomedical research or research in routine care.

In this context, the protocol of the survey, based on a data collection by phone directly from a random sample of individuals, was only approved by an internal expert committee (CCEP) of The French Public Health Agency. In addition, a simple declaration has been made to the National Commission on Informatics and Freedoms (CNIL) in accordance with the Data Protection Act, the only formality required by regulation.

Individuals contacted by phone to answer the questionnaire were informed of the optional nature of their participation and about their rights of access, rectification and opposition to the data concerning them. Informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Solet, J., Raherison-Semjen, C., Mariotti, E. et al. A cross sectional survey to estimate prevalence and associated factors of asthma on Reunion Island, Indian Ocean. BMC Public Health 19, 663 (2019).

Download citation


  • Asthma
  • Epidemiology
  • Prevalence
  • Reunion
  • Indian Ocean