Skip to main content
Download PDF

Multiple overlapping risk factors for childhood wheeze among children in Benin

European Journal of Medical Research volume 27, Article number: 304 (2022) Cite this article

Abstract

Background

The African continent is currently facing an epidemiological transition characterized by a shift from communicable to non-communicable diseases. Prominent amongst the latter are allergies and asthma. In that context, wheeze has multiple potential contributory factors that could include some of the endemic helminth infections, as well as environmental exposures, such as household air pollution. We sought to determine the relative importance of these risk factors among children in Benin.

Methods

We included 964 children aged 6–14 years living in the commune of Comé, south–west Benin. All children were participants in the longitudinal monitoring cohort of the DeWorm3 trial designed to evaluate multiple rounds of community mass treatment with albendazole for interruption of the transmission of soil transmitted helminths (STH). We administered a standard ISAAC questionnaire to determine the presence of wheeze. In addition, we assessed exposure to household air pollution and to other potential allergy-inducing factors, dietary intake and anthropometry. Using STH infection status assessed at the pretreatment baseline timepoint, we used multivariate statistical modelling, controlling for covariates, to investigate associations between wheeze and the different factors measured.

Results

The prevalence of wheezing history was 5.2%, of current wheezing was 4.6% and of severe wheezing was 3.1%, while STH infections were found in 5.6% of children. These profiles did not vary as a function of either age or gender. Infection with Ascaris lumbricoides, but not hookworm species, was significantly associated with both current wheeze (adjusted Odds Ratio (aOR) = 4.3; 95% CI [1.5–12.0]) and severe wheeze (aOR = 9.2; 95% CI [3.1–27.8]). Significant positive associations with current wheeze, independent of each other and of STH infection status, were also found for (i) use of open cookstoves (aOR = 3.9; 95% CI [1.3–11.5]), (ii) use of palm cakes for fire lighting (aOR = 3.4; 95% CI [1.1–9.9]), (iii) contact with domestic animals and/or rodents (aOR = 2.5; 95% CI [1.1–6.0]), (iv) being overweight (aOR = 9.7; 95% CI [1.7–55.9]). Use of open cookstoves and being overweight were also independent risk factors for severe wheeze (aOR = 3.9; 95% CI [1.1–13.7]) and aOR = 10.3; 95% CI [1.8–60.0], respectively).

Conclusions

Children infected with A. lumbricoides appear to be at elevated risk of wheeze. Deworming may be an important intervention to reduce these symptoms. Improving cooking methods to reduce household air pollution, modifying dietary habits to avoid overweight, and keeping animals out of the house are all additional measures that could also contribute to reducing childrens’ risk of wheeze. Policymakers in LMIC should consider tailoring public health measures to reflect the importance of these different risk factors.

Introduction

Asthma is a chronic lung disease characterized by reversible airway obstruction resulting from an allergic reaction or hypersensitivity resulting in breathing difficulty. The symptoms include wheeze, shortness of breath, chest tightness and cough that vary over time and in intensity [1]. All age groups are affected, but children bear the greatest burden [2]. Asthma is among the top 10 causes of chronic conditions in the global ranking of disability-adjusted life years in participants 5–14 years [3].

In sub-Saharan Africa, infectious diseases continue to be a major driver of overall disease burden in children, although the region is undergoing both an environmental and an epidemiological transition toward an increase in non-communicable diseases (NCD), including increases in allergic diseases and asthma [4,5,6]. In 2016, air pollution was the second largest risk factor causing NCDs globally, just below tobacco smoking [7], and children aged 5–15 years were three times more likely to die from the combined effects of ambient and household air pollution in Africa’s low- and middle-income countries (LMIC) than globally (12.9 versus 4.1 per 100,000) [8]. Air pollution was responsible for 1.1 million deaths across Africa in 2019, representing 16.3% of all deaths on the continent. The link between air pollution and asthma is complex. Studies have shown that air pollution may induce or aggravate asthma [9].

Pollution from road traffic predominates in urban areas, but rural populations are not safe from exposure to pollution. In 2019, household air pollution from cooking fuels accounted for 697 000 deaths, and ambient air pollution for 394 000 [10]. In LMIC, nearly three billion people rely on biomass for cooking in open stoves inside homes with little or no ventilation [11]. The populations most at risk are women and the young [12]. Biomass combustion produces high levels of pollution with many toxic agents [13], including many fine particles (PM2.5, PM10, etc.) but also carbon monoxide, nitric oxide and volatile organic compounds [14] that are known to be an important risk factor for respiratory allergic diseases including asthma.

People in rural areas of sub-Saharan Africa live not only with outdoor and indoor pollution but also with endemic parasitic diseases. Among the latter, helminths play a prominent role due to their chronicity allied to their ability to regulate the human immune system [15]. Helminth infections are characterized by the induction of Th2-type immune responses resulting in increased interleukin (IL)-4, IL-5, IL-13 and immunoglobulin (Ig) E levels [16]. The same type of response develops in some individuals on contact with allergens, leading to strong inflammatory responses as seen in asthma [17]. However, to ensure their own survival, in their chronic phase helminths establish an immunoregulatory network that limits the Th2-type response of the host. Thus, regulatory T and B cells are activated and high levels of the regulatory cytokine IL-10 are produced. These immunoregulatory elements not only maintain the helminth infection in the host, but also suppress inflammatory responses in infected individuals [18].

It has been hypothesized that increased hygiene, reduced family size, and consequently decreased microbial exposure levels, could explain the increasing global prevalence of asthma [19]. According to this ‘hygiene hypothesis’ reduced exposure to infectious agents may explain the increased incidence of allergic and autoimmune diseases in industrialized countries [20, 21]. The evidence linking helminth infections with allergic diseases is controversial. While several studies have shown inverse associations between helminths and allergy [22,23,24,25], a recent review suggested that Ascaris lumbricoides infections may increase the risk of bronchial hyperreactivity in participants and of atopy in adults [26]. Notably, helminth elimination as a public health problem is integrated into the WHO roadmap for Neglected Tropical Diseases 2021–2030 [27].

To evaluate the potential contribution of different factors to wheeze in children, we took advantage of the DeWorm3 trial. DeWorm3 is a multi-country (Benin, Malawi and India) community-based cluster-randomized trial which aims to assess the feasibility of interrupting transmission of soil-transmitted helminths (STH) using community mass drug administration with albendazole, compared to standard of care school deworming [28]. The specific objectives of the study described here were, therefore: (i) to determine the proportion of participants with at least one episode of wheezing since birth and in the last 12 months among participants infected or not with STH, (ii) to characterize the exposure of participants to indoor air pollution and (iii) to assess the association between wheezing, exposure to indoor air pollution and STH infection status.

Methods

Study population and site description

The study took place in the commune of Comé in southern Benin. The population is rural/semi-urban, with fishing, farming and market trading as principal activities. Exposure to pollutants is essentially from household air pollution. In Benin, the majority of households (98,6%) used solid fuels for cooking (74.6% used wood, 20% charcoal, and 4.1% straw/shrubs/grass) and 1% used gas [29]. Smoking tobacco is not common, with a country-wide prevalence of tobacco smoking in 18–69 years of 5.0% (9.5% in men and 0.5% in women [30].

Study design and participants

We implemented a cross-sectional survey to assess the presence of wheeze among participants included in the longitudinal monitoring cohort (LMC) of the DeWorm3 study, which took place between August 26th and October 25th, 2020. In the LMC, a total of 6000 individuals were included. We conducted the study described here in a subset of participants aged 6–14 years of age, whose households were located and who were present during the third LMC survey in 2020. A total of 1,130 participants met these criteria. We used data collected at baseline to define STH infection status.

Data collection

Questionnaire on asthma symptoms

Due to considerable concern that allergic conditions were increasing in western and developing countries, a worldwide consortium, the International Study of Asthma and Allergies in Childhood (ISAAC) [31,32,33,34] implemented an epidemiological research program which aimed to investigate the prevalence and determinants of asthma, rhinitis and eczema in participants. ISAAC studies use a simple and standardized framework [34, 35] which can be implemented in a wide range of settings with a high standard of replication [36] to know whether participants had experienced wheeze, a symptom that is commonly attributable to asthma, in the preceding 12 months. To help them understand the purpose of the study, we presented to the participants and their parents a 2 min video developed by the ISAAC consortium showing diverse manifestations of asthma-related wheezing [37]. The questionnaire was administered in the local language by a team of five interviewers. Our study questionnaire combined the wheezing module of ISAAC questionnaire, a module on allergy predisposing factors and a module on participants’s exposure to indoor air pollution. Data were collected using Kobocollect software deployed on smartphones and stored in password-protected data sets in secured servers. The wheezing questionnaire database was subsequently merged with the baseline DeWorm3 LMC survey database by the DeWorm3 central data manager. To blind the data, the household, individual, village and cluster identifiers were anonymized and all other identifiers removed.

Contact with allergens

These data were collected following the instructions and hypotheses of the ISAAC phase 3 manual using the recommended Environmental Questionnaire [41, 42] that has been adapted to local habits and customs (http://isaac.auckland.ac.nz/).

Helminth infection

Data on helminth infection were from the baseline study of the DeWorm3 longitudinal cohort, conducted in April 2018. Participants’ stool samples were screened for the presence of STH using the Kato-Katz technique [38]. The parasite intensity was calculated from a Kato-Katz smear made with 41.7 mg of stool, by multiplying the egg count from the slide by a factor of 24 (24 × 41.7 mg ≈ 1 g) to get the number of eggs per gram of stool (EPG).

Treatment information

Between the baseline survey in 2018 and the wheezing questionnaire in 2020, there were in total five rounds of mass drug administration (MDA) for STH using albendazole, with participants treated differently according to their location in intervention (maximum five treatments) or control clusters (maximum two treatments). Assumptions were made regarding treatment status of participants in control clusters, with one school-based treatment (in 2019) for pre-school aged participants (aged 4 years at baseline in 2018) and two school-based treatments (in 2018 and 2019) for school-aged participants.

Variables

Dependent variables

The dependent variables were current wheezing, history of wheezing and severe wheezing. Based on ISAAC studies, current wheezing was defined by at least one episode of wheezing during the last 12 months, and wheezing history was defined by at least one wheezing episode since birth. Severe wheezing was defined as current wheezing with more than four wheezing attacks or more than one night per week of sleep disturbance due to wheezing, or wheezing affecting speech, as assessed through the questionnaire administered [31].

Covariates

The covariates of interest were (i) helminth infection treated as a binary variable (yes/no) and intensity of helminth infection (null/light/moderate/heavy) [39] and (ii) variables related to exposure to household air pollution, such as cooking fuels (wood only/charcoal only/gas only/mixed); biomass fuels (wood only/charcoal only/mixed); daily exposure time to cooking fuels (in hours); type of cookstove (opened only/protected only/mixed); cooking place (indoor/outdoor/mixed); fire starters: oil, palm cake, plastic bags; and (iii) proxy of exposure to ambient air pollution, such as distance from home to a paved or unpaved but busy road.

Other covariates were (i) socio-demographic variables including gender; wealth index, a variable corresponding to wealth level quintiles detailed elsewhere [40]; household size (number of individuals in the household); and body mass index (BMI) (kg/m2); (ii) exposure to tobacco smoke (yes/no); (iii) allergens variables categorized according to ISAAC environmental questionnaires [41, 42] which included diet (exclusively allergy-protective/exclusively allergy-prone or mixed); contact with animal allergens (dogs, cats, rodents); food products stored in the rooms, where the child lives (yes/no); proximity to volatile toxic products (insecticide (spirals/aerosols etc.), rat poison, oil (yes/no)); type of housing material (natural versus man-made); sleeping material (natural versus man-made); (iv) number of albendazole treatments.

Statistical analysis

Proportions were computed with 95% confidence intervals and continuous variables were described with means and interquartile ranges (IQR). We used Student's T test to compare quantitative variables and Chi2 test for qualitative variables. To investigate the association between wheezing and helminth infection status, taking into account air pollution, several regression models were used. We performed a logistic regression with the variable «current wheezing» treated dichotomously (yes/no). A multinomial (polytomous) logistic regression was done with the dependent variable ‘wheezing severity’, a qualitative ordinal variable with three categories (no wheezing/wheezing/severe wheezing). At each of the previous stages, univariate and multivariate analyses were performed. Variables whose p value was < 0.2 at the univariate stage were included in the multivariate model. In this last step the significance level was 0.05. The final model with all significant p values was obtained by eliminating variables through a step-by-step descending method. Effect sizes are presented with 95% confidence intervals. All analyses were performed with Stata 14 for Windows (Stata Corp., College Station, TX).

Results

Study population

Among the 1113 participants aged 6–14 years from the DeWorm3 LMC database considered for the wheezing survey, there were 81 participants who had permanently migrated, forty had travelled, eight with households not located and one deceased (Fig. 1). Among the 974 participants we asked for, seven refused to participate, leading to a 99.3% (967/974) participation rate. We excluded from the database observations with missing information for questions concerning current wheezing (n = 6), cooking fuels (n = 11) and STH infection status (n = 55). The descriptive analysis concerned 895 participants.

Fig. 1
figure 1

Study flow chart

Full size image

The median age was 9.2 years (IQR 7.2–11.8), with 46.2% females. Household size ranged from 2 to 20 individuals with a median of 6 (IQR 5–7). Most participants (98.1%) had a normal BMI, i.e., between 18 and 25 kg/m2 (Table 1a).

Table 1 Description of the study population: socio-demographic characteristics, helminth infection and treatment information, exposure to air pollution, and allergy related variables
Full size table

Wheeze and STH infection

The prevalence of current wheezing was 4.6% [95%CI 3.4–6.7%], of wheezing history was 5.2% [95%CI 4.0–6.9%] and of severe wheezing was 3.1% [95%CI 2.2–4.5%].

Overall, 50 (5.6%) participants were infected with STH, among whom 31 (3.2%) were infected by Ascaris lumbricoides, 17 (1.8%) by hookworm and 2 (0.2%) by Trichuris trichiura. No STH co-infections were detected. Among those infected with STH, the intensity of Ascaris infection was light, moderate or heavy in 13, 17 and 1 participants, respectively, with a median intensity of 7968 eggs per gram (EPG) (IQR 1680–34296, range 12–56412 EPG). Infections with hookworm were mostly of light intensity (15 participants), with 1 moderate and 1 heavy intensity, with a median of 84 EPG, (IQR 48–492, range 12–11100). Concerning Trichuris, 1 was of light intensity (120 EPG) and 1 of heavy intensity (20124 EPG) (Table 1b). Due to the very low number of cases, Trichuris infections were not taken into account in the analyses.

Exposure to risk factors

Ambient air pollution

The distance from home to the nearest main road was taken as a proxy of exposure to outdoor air pollution. Most (79.4%) participants’ houses were more than 200 m from an asphalt road, while half (49%) lived more than 200 m from an unpaved but busy road (Table 1c).

Household air pollution

Cooking was exclusively outdoors for 44% of the participants, 16% indoors and for 38.6% cooking was both indoors and outdoors. Open cookstoves were exclusively used by 45.8% of the participants, while 32.4% were exposed exclusively to protected cookstoves and 13.2% were exposed to both categories. With respect to lighting fires, 70% were exposed to palm cake smoke, 25% to kerosene smoke, and 4.6% to plastic bag smoke (Table 1c). Taking all cookstoves into account, the fuels to which our study population was exposed comprised mainly wood (62.4%) and charcoal (53.7%). Straw/shrubs/grass, gas, wood sawdust and kerosene were less frequent (6.1%, 5.2%, 1.4% and 0.2%, respectively). Three hundred and fifty-two (38.8%) participants were exposed to wood burning only, 251 (27.7%) exposed to charcoal burning only, 12 (1.3%) exposed to gas cooking only and 292 (32.2%) exposed to a mixed combination of cooking fuels. Since burning biomass and its effects on respiratory health is the primary focus of this study, we excluded the 12 participants (1.3%) with only gas-based cooking exposure from the analysis.

Contact with allergens

Fifty-six percent of participants (541) were in contact with dogs, cats or rodents. 57% (550) consumed allergy risk foods or a mixed diet in the previous 2 weeks, while 407 participants (42%) consumed allergy protective foods; 323 (33.5%) participants lived in rooms, where no food was stored, while 638 (66.2%) participants lived in rooms, where at least one of two types of food among cereals, tubers and nuts were stored; 409 (42.4%) of the participants lived near volatile toxic products, such as insecticides and petrol; 310 (32.2%) participants lived in a house with a roof, floor or wall made of natural material compared to 654 (67.9%) participants living in a house made of manufactured materials (Table 1d).

Mass treatments with albendazole

One hundred and eleven (12.4%) participants received 0 to 1 treatment with albendazole, 363 (40.6%) received 2 to 3 treatments and 421 (47%) received 4 to 5 treatments. Details of albendazole treatment status are available in Table 2.

Table 2 Wheezing study participants’ age-group at baseline and treatment arm in DeWorm3
Full size table

Factors associated with asthma symptoms

To avoid bias related to memory recall, we focused the analysis on current wheezing and severe wheezing which are related to the 12 previous months.

Univariate analysis

Children harboring STH infection (all species) were more likely to suffer current wheezing than those not infected (OR = 5.6 [2.5–12.4]). Among them, infection with Ascaris was significantly associated with current wheezing (OR = 7.1 [2.9–17.7]), whereas hookworm infection was not (OR = 1.3 [0.2–10.1]). We found no association between current wheezing and neither intensity of STH infections (OR = 1.0 [0.9–1.0]), nor number of MDA treatments (OR = 0.98 [0.81–1.19]). Being overweight (i.e., BMI 25–30 kg/m2) was associated with a higher prevalence of wheezing (OR = 9.5 [2.4–38.1]) compared to normal BMI. However, belonging to the 3rd and 4th quintile of asset index, compared to the 1st quintile representing the poorest, was associated with a significantly lower odds of current wheezing (OR = 0.3 [0.1–0.9] and OR = 0.3 [0.1–0.8], respectively).

Regarding indoor air pollution, participants with longer exposure time to cooking fuels (crude OR = 1.3 [1.0–1.6]), exposed to open stoves (OR = 5.2 [1.8–15.0]) or mixed (open and protected) stoves (OR = 3.9 [1.2–12.8]) compared to protected stoves had a higher risk of current wheezing. Furthermore, using palm cakes to light the fire (OR = 4.1 [1.4–11.7]) was associated with higher odds of a wheezing episode during the 12 past months, whereas using kerosene was associated with lower odds (OR = 0.4 [0.1–0.9]). Exposure to tobacco smoke was not associated with current wheezing.

With respect to outdoor air pollution, participants who lived more than 200 m from an unpaved but busy road were less likely to have wheezing episodes than those closer than 50 m (OR = 0.5 [0.2–0.99]) to the road.

As far as allergy-related variables are concerned, participants in contact with animals (dogs, cats, rodents), living in rooms, where food products (cereals, tubers, nuts) or volatile toxic substances (insecticides, oil, gas oil, rat poison) are stored were more likely to have current wheezing episodes (OR = 3.5 [1.6–7.8]; OR = 2.0 [1.0–3.8] and OR = 3.7 [1.9–7.4], respectively).

Multivariate analysis

In multivariate analyses, the association between Ascaris infection and current wheezing remained (adjusted odds ratio (aOR) = 4.3 [1.5–12.0]). Other variables that remained in the final model were being overweight (aOR = 9.7 [1.7–55.9]), type of cookstove, open only (aOR = 3.9 [1.3–11.5]) versus improved only, palm cakes for fire lighting (aOR = 3.4 [1.1–9.9]) and contact with animals (dogs, cats, rodents) (aOR = 2.5 [1.1–6.0]), all of them representing risk factors for current wheezing. There was no significant interaction between Ascaris infection and either type of cookstoves (Log-likelihood ratio test, p = 0.06) or contact with animals (p = 0.48).

Details of univariate analysis are presented in Additional file 1: Tables S1a, S1b, S1c and S1d and the reduced model after multivariate analysis is presented in Table 3.

Table 3 Reduced model of logistic regression showing factors associated with current wheezing
Full size table

Factors associated with severe wheezing

We investigated the factors potentially associated with severe wheezing using multinomial (polytomous) logistic regression. Multivariate analysis revealed the same trend as for current wheezing in terms of associated factors with the exception of palm cakes for fire lighting that was not associated with severe wheezing. Indeed, participants with Ascaris infection had higher odds of severe wheezing (aOR = 9.2 [3.1–27.8]), as did those exposed to open cookstoves only versus improved only (aOR = 3.9 [1.1–13.7]) and those who were overweight (aOR = 10.3 [1.8–60.0]). The reduced model after multivariate analysis is presented in Table 4.

Table 4 Factors associated with severe wheezing using multinomial logistic regression
Full size table

Discussion

In the study described here, we investigated the factors associated with asthma symptoms in children living in a rural/semi-urban setting of southern Benin, focusing on soil-transmitted helminth (STH) infections as well as exposures to environmental factors, such as air pollution and allergens. Our study is thus distinctive—we know of no other published study to have assessed such a combination of factors in the context of asthma symptoms in a sub-Saharan African setting. The study leveraged the DeWorm3 trial in which the study subjects were participants. DeWorm3 is designed to assess STH transmission interruption through community mass deworming [28, 43].

In our study population the proportion with a history of wheeze was 5.2% and with current wheezing of 4.6%. Similar prevalences have previously been reported in children living in northern Benin [44]. In the Phase 3 ISAAC study, the prevalence of current wheezing in the African settings assessed was 10% and 14% in 6–7 year and 13–14 year age groups, respectively [31]. The Phase 3 ISAAC Centers assessed urban residents as opposed to the predominantly rural residents of our study site, a difference that, we speculate, possibly explains the difference in proportions of those found with wheezing. The prevalence of severe wheezing was 3.1% in our population, and the ratio between current wheezing and severe asthma is, therefore, consistent with the results of the third ISAAC study [31], showing that the proportion of those with current wheeze presenting clinical signs of severe asthma was higher in Africa than in other regions. The reasons could be poorer asthma care in low income countries together with lower awareness of wheeze being a symptom of asthma. However, differences of exposure to both air pollutants and infectious agents may also contribute to the greater severity observed in LMIC [31]. This difference underlines the importance of performing more studies in Benin and more generally in LMIC using the ISAAC questionnaire and tools.

The marked positive association we found between symptoms of wheeze and A. lumbricoides infection, with no association—either positive or negative—found for hookworm, are observations that are consistent with the findings of other studies conducted in sub-Saharan African settings [45, 46], although inverse associations between hookworm and allergic disease have nevertheless been reported in Uganda, for example, [47, 48]. Since a seminal study in Gabon on the topic [49], with the principal findings subsequently reproduced elsewhere [50], helminths in general have been thought to offer protection from allergic diseases. This is related to the fact that, to ensure their survival, these parasitic worms modulate the human immune system in the chronic phase of their infection through induction of IL-10-driven immunoregulatory responses that act, in a so-called ‘bystander’ way, to suppress allergic inflammation [15,16,17]. Thus, chronic helminth infections may protect from allergic diseases including asthma [51,52,53,54]. In such a scenario our results with respect to wheeze and A. lumbricoides could be seen as counter-intuitive, but they are, nevertheless, entirely in accordance with the conclusions drawn by reviews of recent studies on the topic of associations between STH and symptoms of asthma, including those of a systematic nature with meta-analyses [26, 55, 56].

Mechanistically, a precise immunological explanation for the association between wheeze and A. lumbricoides remains obscure, but a relationship with the inflammatory response to the pulmonary passage of larvae of A. lumbricoides seems the most plausible. It is known, for example, that Ascaris larval migration through airways may be associated with respiratory symptoms, such as wheezing, dyspnoea and bronchospasm [57, 58]. Separately, Ascaris is also associated with increased Th2-type and IgE responses to cross-reactive house dust mite(HDM)-specific allergens [59, 60], responses that themselves represent a positive risk factor for asthma and asthma severity [61,62,63]. That being said, it should be borne in mind that our study population was participating in the DeWorm3 trial involving repeated treatment with the anthelmintic albendazole. Purely from the perspective of STH infections, then, any treatment-mediated decline in the prevalence of A. lumbricoides would be expected to be accompanied by a parallel decrease in the prevalence of wheezing. Although, as mentioned earlier, the prevalence of wheezing we observed here is similar to that reported in northern Benin, we do not know if it was actually higher in our study participants prior to implementation of anti-STH treatment in the study site. What remains also unclear is the speed with which such asthma-related symptoms would anyway be expected to resolve following clearance of worms. That wheezing was not associated with the number of treatments children received in our study over the 2 years prior to administering the ISAAC questionnaire could be interpreted as evidence that symptoms do not resolve rapidly. In the same context, intensive anti-STH treatment given every 3 months over a 2 year period in a rural area of Indonesia with a very high worm burden did not affect reported allergy symptoms [64], although it should be noted that the prevalence of STH infections remained relatively high in that study’s population.

We found a strong positive association—independent of STH infection—between wheeze and either exclusive use of open cookstoves, or use of palm cakes for lighting fires, findings that are consistent with earlier studies in Latin America [65, 66]. Open cookstoves use principally biomass as fuel, the incomplete combustion of which generates high levels of pollutants that are harmful to the lung [14]. From a mechanistic perspective, air pollutants cause oxidative stress to the airways, leading to inflammation, remodeling, and increased risk of sensitization [67]. The degree of openness of the cookstove is positively associated with the level of personal exposure to fine particulate matter [68]. Thus, improved cookstoves offer better combustion of the fuel by providing an insulated combustion chamber around and above the fire, enhancing the temperature of the fire and resulting in decreased CO and PM levels compared to open cookstoves [69,70,71], associated with a reduction in wheezing symptoms both in mothers [72] and children [73]. In contrast to earlier studies [74], here we found no association between wheezing and indoor exposure to tobacco smoke, probably due to the comparatively low prevalence of tobacco smoking in our setting. We also found that being overweight was also positively and independently associated with current wheezing and severe wheezing episodes. Similar findings in children under five have been reported [75]. It is known that fat accumulates inside the airways of overweight individuals, altering their normal structure and leading to inflammation. There is also evidence of positive correlations between BMI, adipose tissue area on airway walls, airway wall thickness and the number of inflammatory cells [76].

There are a number of limitations of our study. One is that both exposure (air pollution, diet, allergens etc.) and wheeze were assessed based not on objective measures but on a questionnaire that could generate memory bias. The ISAAC questionnaire we used is nevertheless a highly standardized tool that has been used internationally for decades, facts that more than 500 peer reviewed publications attest to. Another limitation concerns the trial’s blinding context that prevented use of participants’ post-intervention helminth infection status. The true helminth prevalence at the time of administration of the ISAAC questionnaire would, logically, be expected to have been lower than the baseline level. In addition, the relatively low prevalence of the outcome measure, wheezing, may also have limited the study’s power to detect potentially meaningful associations, while the repeated treatment of children with albendazole may have modified some of the associations detected by decreasing the intensity of helminth infections.

To our knowledge, this study is the first to investigate risk factors for wheeze taking into account the potential role of both helminths and household air pollution (HAP) in the same model. HAP induces airway inflammation that elicits asthma symptoms, a process that our findings are consistent with. In the context of the epidemiological transition phenomenon ongoing in LMIC-like Benin, our work clearly highlights the importance, in future studies, of considering helminth infection characteristics (species, prevalence, intensity), combined with assessments of individuals’ exposure to HAP as well as their biometrics, to better determine potential risk factors for wheeze in childhood and adolescence.

Conclusions

Many LMIC countries are facing an epidemiological transition with an increase in the prevalence of non-communicable diseases including asthma. Understanding the risk factors for asthma in the tropics is important for tailoring the public health response. Such an understanding necessitates taking into account environmental factors, including exposure to air pollution as well as to potential allergens, and helminth infections that may differentially affect inflammatory responses through allergy-inducing and/or immunomodulatory effects. With respect to preventing wheezing, our study highlights potentially modifiable factors of public health interest that could include promoting the use of improved cookstoves, preventing overweight in children, and preventing contact with domestic animals. Perhaps of most relevance with regard to ongoing debates concerning the benefits of mass deworming programmes, our results clearly demonstrate added value in terms of reducing the prevalence of Ascaris infections that can precipitate wheezing.

Availability of data and materials

Under agreement with the IRBs of the Deworm3 study, data must be blinded until the study concludes. Therefore, to avoid breaching the agreement with the ethical approval bodies, data cannot be shared publicly, because the study remains blinded to outcome data. Data are available from the DeWorm3 Institutional Data Access Committee (contact via dw3data@uw.edu) for researchers who meet the criteria for access to these data. Data exclusively related to the wheezing study can be made available upon request to the corresponding author.

References

  1. Becker AB, Abrams EM. Asthma guidelines: the global initiative for asthma in relation to national guidelines. Curr Opin Allergy Clin Immunol. 2017;17:99–103. https://doi.org/10.1097/ACI.0000000000000346.

    Article  Google Scholar 

  2. Adeloye D, Chan KY, Rudan I, Campbell H. An estimate of asthma prevalence in Africa: a systematic analysis. Croat Med J. 2013;54:519–31. https://doi.org/10.3325/cmj.2013.54.519.

    Article  Google Scholar 

  3. Asher I, Pearce N. Global burden of asthma among children. Int J Tuberc Lung Dis. 2014;18:1269–78. https://doi.org/10.5588/ijtld.14.0170.

    Article  CAS  Google Scholar 

  4. Gouda HN, Charlson F, Sorsdahl K, Ahmadzada S, Ferrari AJ, Erskine H, et al. Burden of non-communicable diseases in sub-Saharan Africa, 1990–2017: results from the global burden of disease study 2017. Lancet Glob Health. 2019;7:e1375–87. https://doi.org/10.1016/S2214-109X(19)30374-2.

    Article  Google Scholar 

  5. Bigna JJ, Noubiap JJ. The rising burden of non-communicable diseases in sub-Saharan Africa. Lancet Glob Health. 2019;7:e1295–6. https://doi.org/10.1016/S2214-109X(19)30370-5.

    Article  Google Scholar 

  6. Atiim GA, Elliott SJ. The global epidemiologic transition: noncommunicable diseases and emerging health risk of allergic disease in sub-Saharan Africa. Health Educ Behav. 2016. https://doi.org/10.1177/1090198115606918.

    Article  Google Scholar 

  7. Prüss-Ustün A, van Deventer E, Mudu P, Campbell-Lendrum D, Vickers C, Ivanov I, et al. Environmental risks and non-communicable diseases. BMJ. 2019;364:l265. https://doi.org/10.1136/bmj.l265.

    Article  Google Scholar 

  8. World Health Organization. Air pollution and child health: prescribing clean air: summary. World Health Organization; 2018. Report No.: WHO/CED/PHE/18.01. https://apps.who.int/iris/handle/10665/275545.

  9. Landrigan PJ, Fuller R, Acosta NJR, Adeyi O, Arnold R, Basu N, et al. The lancet commission on pollution and health. Lancet. 2018;391:462–512. https://doi.org/10.1016/S0140-6736(17)32345-0.

    Article  Google Scholar 

  10. Fisher S, Bellinger DC, Cropper ML, Kumar P, Binagwaho A, Koudenoukpo JB, et al. Air pollution and development in Africa: impacts on health, the economy, and human capital. Lancet Planet Health. 2021;5:e681–8. https://doi.org/10.1016/S2542-5196(21)00201-1.

    Article  Google Scholar 

  11. Bousquet J, Mantzouranis E, Cruz AA, Aït-Khaled N, Baena-Cagnani CE, Bleecker ER, et al. Uniform definition of asthma severity, control, and exacerbations: document presented for the World Health Organization consultation on severe asthma. J Allergy Clin Immunol. 2010;126:926–38. https://doi.org/10.1016/j.jaci.2010.07.019.

    Article  Google Scholar 

  12. Khalequzzaman M, Kamijima M, Sakai K, Hoque BA, Nakajima T. Indoor air pollution and the health of children in biomass- and fossil-fuel users of Bangladesh: situation in two different seasons. Environ Health Prev Med. 2010;15:236–43. https://doi.org/10.1007/s12199-009-0133-6.

    Article  CAS  Google Scholar 

  13. Gordon SB, Bruce NG, Grigg J, Hibberd PL, Kurmi OP, Lam KH, et al. Respiratory risks from household air pollution in low and middle income countries. Lancet Respir Med. 2014;2:823–60. https://doi.org/10.1016/S2213-2600(14)70168-7.

    Article  Google Scholar 

  14. Morawska L, Zhang JJ. Combustion sources of particles. 1. Health relevance and source signatures. Chemosphere. 2002;49:1045–58. https://doi.org/10.1016/s0045-6535(02)00241-2.

    Article  CAS  Google Scholar 

  15. Maizels RM. Regulation of immunity and allergy by helminth parasites. Allergy. 2020;75:524–34. https://doi.org/10.1111/all.13944.

    Article  Google Scholar 

  16. Girgis NM, Gundra UM, Loke P. Immune Regulation during Helminth Infections. PLoS Pathog. 2013;9:e1003250. https://doi.org/10.1371/journal.ppat.1003250.

    Article  CAS  Google Scholar 

  17. Justiz Vaillant AA, Vashisht R, Zito PM. Immediate Hypersensitivity Reactions. StatPearls. Treasure Island (FL): StatPearls Publishing; 2022. http://www.ncbi.nlm.nih.gov/books/NBK513315/.

  18. Hussaarts L, van der Vlugt LEPM, Yazdanbakhsh M, Smits HH. Regulatory B-cell induction by helminths: implications for allergic disease. J Allergy Clin Immunol. 2011;128:733–9. https://doi.org/10.1016/j.jaci.2011.05.012.

    Article  CAS  Google Scholar 

  19. Strachan DP. Hay fever, hygiene, and household size. BMJ. 1989;299:1259–60.

    Article  CAS  Google Scholar 

  20. Yazdanbakhsh M, Matricardi PM. Parasites and the hygiene hypothesis: regulating the immune system? Clin Rev Allergy Immunol. 2004;26:15–24. https://doi.org/10.1385/CRIAI:26:1:15.

    Article  CAS  Google Scholar 

  21. Brooks C, Pearce N, Douwes J. The hygiene hypothesis in allergy and asthma: an update. Curr Opin Allergy Clin Immunol. 2013;13:70–7. https://doi.org/10.1097/ACI.0b013e32835ad0d2.

    Article  Google Scholar 

  22. Lima C, Perini A, Garcia MLB, Martins MA, Teixeira MM, Macedo MS. Eosinophilic inflammation and airway hyper-responsiveness are profoundly inhibited by a helminth (Ascaris suum) extract in a murine model of asthma. Clin Exp Allergy. 2002;32:1659–66. https://doi.org/10.1046/j.1365-2222.2002.01506.x.

    Article  CAS  Google Scholar 

  23. Shinoda K, Choe A, Hirahara K, Kiuchi M, Kokubo K, Ichikawa T, et al. Nematode ascarosides attenuate mammalian type 2 inflammatory responses. Proc Natl Acad Sci USA. 2022;119:e2108686119. https://doi.org/10.1073/pnas.2108686119.

    Article  CAS  Google Scholar 

  24. van der Werff SD, Twisk JWR, Wördemann M, Ponce MC, Díaz RJ, Núñez FA, et al. Deworming is not a risk factor for the development of atopic diseases: a longitudinal study in Cuban school children. Clin Exp Allergy. 2013;43:665–71. https://doi.org/10.1111/cea.12129.

    Article  CAS  Google Scholar 

  25. Wang CC, Nolan TJ, Schad GA, Abraham D. Infection of mice with the helminth Strongyloides stercoralis suppresses pulmonary allergic responses to ovalbumin. Clin Exp Allergy. 2001;31:495–503. https://doi.org/10.1046/j.1365-2222.2001.01044.x.

    Article  CAS  Google Scholar 

  26. Arrais M, Maricoto T, Nwaru BI, Cooper PJ, Gama JMR, Brito M, et al. Helminth infections and allergic diseases: Systematic review and meta-analysis of the global literature. J Allergy Clin Immunol. 2021. https://doi.org/10.1016/j.jaci.2021.12.777.

    Article  Google Scholar 

  27. Ending NTDs: together towards 2030. https://www.who.int/teams/control-of-neglected-tropical-diseases/ending-ntds-together-towards-2030. Accessed on 29 Mar 2022.

  28. Ásbjörnsdóttir KH, Ajjampur SSR, Anderson RM, Bailey R, Gardiner I, Halliday KE, et al. Assessing the feasibility of interrupting the transmission of soil-transmitted helminths through mass drug administration: the DeWorm3 cluster randomized trial protocol. PLoS Negl Trop Dis. 2018;12:e0006166. https://doi.org/10.1371/journal.pntd.0006166.

    Article  Google Scholar 

  29. Benin Final Report Released - UNICEF MICS. https://mics.unicef.org/news_entries/75/BENIN-FINAL-REPORT-RELEASED. Accessed on 7 Apr 2022.

  30. Benin - STEPS 2015. https://extranet.who.int/ncdsmicrodata/index.php/catalog/107/related-materials. Accessed on 5 Apr 2022.

  31. Lai CKW, Beasley R, Crane J, Foliaki S, Shah J, Weiland S, et al. Global variation in the prevalence and severity of asthma symptoms: phase three of the international study of asthma and allergies in childhood (ISAAC). Thorax. 2009;64:476–83. https://doi.org/10.1136/thx.2008.106609.

    Article  CAS  Google Scholar 

  32. Al Tuwaijri A, Gagné-Ouellet V, Madore A-M, Laprise C, Naumova AK. Local genotype influences DNA methylation at two asthma-associated regions, 5q31 and 17q21, in a founder effect population. J Med Genet. 2016;53:232–41. https://doi.org/10.1136/jmedgenet-2015-103313.

    Article  CAS  Google Scholar 

  33. Asher I. ISAAC international study of asthma and allergies in childhood. Pediatr Pulmonol. 2007;42:100. https://doi.org/10.1002/ppul.20525.

    Article  Google Scholar 

  34. Asher MI, Keil U, Anderson HR, Beasley R, Crane J, Martinez F, et al. International study of asthma and allergies in childhood (ISAAC): rationale and methods. Eur Respir J. 1995;8:483–91. https://doi.org/10.1183/09031936.95.08030483.

    Article  CAS  Google Scholar 

  35. Ellwood P, Asher MI, Beasley R, Clayton TO, Stewart AW. ISAAC steering committee. The international study of asthma and allergies in childhood (ISAAC): phase three rationale and methods [Research Methods]. Int J Tuberc Lung Dis. 2005;9:10–6.

    CAS  Google Scholar 

  36. Ellwood P, Asher MI, Stewart AW, Aït-Khaled N, Mallol J, Strachan D, et al. The challenges of replicating the methodology between phases I and III of the ISAAC pro. gramme. Int J Tuberc Lung Dis. 2012;16:687–93. https://doi.org/10.5588/ijtld.11.0226.

    Article  CAS  Google Scholar 

  37. ISAAC Phase three video questionnaire. https://isaac.auckland.ac.nz/phases/phasethree/videoquestionnaire.html. Accessed on 8 Apr 2022.

  38. Katz N, Chaves A, Pellegrino J. A simple device for quantitative stool thick-smear technique in Schistosomiasis mansoni. Rev Inst Med Trop Sao Paulo. 1972;14:397–400.

    CAS  Google Scholar 

  39. WHO Expert Committee on the Control of Schistosomiasis (2001 : Geneva S, Organization WH. Prevention and control of schistosomiasis and soil-transmitted helminthiasis : report of a WHO expert committee. World Health Organization; 2002. https://apps.who.int/iris/handle/10665/42588.

  40. Avokpaho EFGA, Houngbégnon P, Accrombessi M, Atindégla E, Yard E, Rubin Means A, et al. Factors associated with soil-transmitted helminths infection in Benin: findings from the DeWorm3 study. PLoS Negl Trop Dis. 2021;15:e0009646. https://doi.org/10.1371/journal.pntd.0009646.

    Article  Google Scholar 

  41. Environmental Questionnaire Instructions and Hypotheses, 6–7 Year Age Group. https://isaac.auckland.ac.nz/phases/phasethree/environmentalquestionnaire/environmentalquestionnaire.html. Accessed on 22 Apr 2022.

  42. Environmental Questionnaire Instructions and Hypotheses, 13–14 Year Age Group. https://isaac.auckland.ac.nz/phases/phasethree/environmentalquestionnaire/environmentalquestionnaire.html. Accessed on 22 Apr 2022.

  43. DeWorm3 Trials Team. Baseline patterns of infection in regions of Benin, Malawi and India seeking to interrupt transmission of soil transmitted helminths (STH) in the DeWorm3 trial. PLoS Negl Trop Dis. 2020;14: e0008771. https://doi.org/10.1371/journal.pntd.0008771

  44. Ade S, Flatin M, Dovonou A, Ametonou B, Fanou L, Allasani A, et al. Prevalence of bronchial asthma symptoms associated with aller-gic rhinitis manifestations in Parakou. Benin J Func Vent Pulm. 2017;24:24–8. https://doi.org/10.12699/jfvp.8.24.2017.24.

    Article  Google Scholar 

  45. Calvert J, Burney P. Ascaris, atopy, and exercise-induced bronchoconstriction in rural and urban South African children. J Allergy Clin Immunol. 2010;125(100–105):e1-5. https://doi.org/10.1016/j.jaci.2009.09.010.

    Article  Google Scholar 

  46. Webb EL, Nampijja M, Kaweesa J, Kizindo R, Namutebi M, Nakazibwe E, et al. Helminths are positively associated with atopy and wheeze in Ugandan fishing communities: results from a cross-sectional survey. Allergy. 2016;71:1156–69. https://doi.org/10.1111/all.12867.

    Article  CAS  Google Scholar 

  47. Mpairwe H, Ndibazza J, Webb EL, Nampijja M, Muhangi L, Apule B, et al. Maternal hookworm modifies risk factors for childhood eczema: results from a birth cohort in Uganda. Pediatr Allergy Immunol. 2014;25:481–8. https://doi.org/10.1111/pai.12251.

    Article  Google Scholar 

  48. de Pinot Moira A, Fitzsimmons CM, Jones FM, Wilson S, Cahen P, Tukahebwa E, et al. Suppression of basophil histamine release and other IgE-dependent responses in childhood Schistosoma mansoni/hookworm coinfection. J Infect Dis. 2014;210:1198–206. https://doi.org/10.1093/infdis/jiu234.

    Article  CAS  Google Scholar 

  49. van den Biggelaar AH, van Ree R, Rodrigues LC, Lell B, Deelder AM, Kremsner PG, et al. Decreased atopy in children infected with Schistosoma haematobium: a role for parasite-induced interleukin-10. Lancet. 2000;356:1723–7. https://doi.org/10.1016/S0140-6736(00)03206-2.

    Article  Google Scholar 

  50. Cooper PJ, Chico ME, Vaca MG, Sandoval CA, Loor S, Amorim LD, et al. Effect of early-life geohelminth infections on the development of wheezing at 5 years of age. Am J Respir Crit Care Med. 2018;197:364–72. https://doi.org/10.1164/rccm.201706-1222OC.

    Article  Google Scholar 

  51. Cooper S, Schmidt B-M, Sambala EZ, Swartz A, Colvin CJ, Leon N, et al. Factors that influence parents’ and informal caregivers’ views and practices regarding routine childhood vaccination: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2021;10:CD013265. https://doi.org/10.1002/14651858.CD013265.pub2.

    Article  Google Scholar 

  52. Cooper PJ, Chico ME, Rodrigues LC, Ordonez M, Strachan D, Griffin GE, et al. Reduced risk of atopy among school-age children infected with geohelminth parasites in a rural area of the tropics. J Allergy Clin Immunol. 2003;111:995–1000. https://doi.org/10.1067/mai.2003.1348.

    Article  Google Scholar 

  53. Cooper PJ, Chico ME, Guadalupe I, Sandoval CA, Mitre E, Platts-Mills TAE, et al. Impact of early life exposures to geohelminth infections on the development of vaccine immunity, allergic sensitization, and allergic inflammatory diseases in children living in tropical Ecuador: the ECUAVIDA birth cohort study. BMC Infect Dis. 2011;11:184. https://doi.org/10.1186/1471-2334-11-184.

    Article  Google Scholar 

  54. Pereira MU, Sly PD, Pitrez PM, Jones MH, Escouto D, Dias ACO, et al. Nonatopic asthma is associated with helminth infections and bronchiolitis in poor children. Eur Respir J. 2007;29:1154–60. https://doi.org/10.1183/09031936.00127606.

    Article  CAS  Google Scholar 

  55. Leonardi-Bee J, Pritchard D, Britton J. Asthma and current intestinal parasite infection: systematic review and meta-analysis. Am J Respir Crit Care Med. 2006;174:514–23. https://doi.org/10.1164/rccm.200603-331OC.

    Article  Google Scholar 

  56. Mpairwe H, Amoah AS. Parasites and allergy: Observations from Africa. Parasite Immunol. 2019;41:e12589. https://doi.org/10.1111/pim.12589.

    Article  Google Scholar 

  57. Ozdemir O. Loeffler’s syndrome: a type of eosinophilic pneumonia mimicking community-acquired pneumonia and asthma that arises from Ascaris lumbricoides in a child. North Clin Istanb. 2020;7:506–7. https://doi.org/10.14744/nci.2020.40121.

    Article  Google Scholar 

  58. Weatherhead JE, Porter P, Coffey A, Haydel D, Versteeg L, Zhan B, et al. Ascaris larval infection and lung invasion directly induce severe allergic airway disease in mice. Infect Immun. 2018;86:e00533-e618. https://doi.org/10.1128/IAI.00533-18.

    Article  CAS  Google Scholar 

  59. Fitzsimmons CM, Falcone FH, Dunne DW. Helminth allergens, parasite-specific IgE, and its protective role in human immunity. Front Immunol. 2014;5:61. https://doi.org/10.3389/fimmu.2014.00061.

    Article  CAS  Google Scholar 

  60. Tyagi N, Farnell EJ, Fitzsimmons CM, Ryan S, Tukahebwa E, Maizels RM, et al. Comparisons of allergenic and metazoan parasite proteins: allergy the price of immunity. PLoS Comput Biol. 2015;11:e1004546. https://doi.org/10.1371/journal.pcbi.1004546.

    Article  CAS  Google Scholar 

  61. Caraballo L, Acevedo N. New allergens of relevance in tropical regions: the impact of ascaris lumbricoides infections. World Allergy Organ J. 2011;4:77–84. https://doi.org/10.1097/WOX.0b013e3182167e04.

    Article  CAS  Google Scholar 

  62. Caraballo L, Acevedo N, Buendia E. Human ascariasis increases the allergic response and allergic symptoms. Curr Trop Med Rep. 2015. https://doi.org/10.1007/s40475-015-0058-7.

    Article  Google Scholar 

  63. Acevedo N, Erler A, Briza P, Puccio F, Ferreira F, Caraballo L. Allergenicity of Ascaris lumbricoides tropomyosin and IgE sensitization among asthmatic patients in a tropical environment. Int Arch Allergy Immunol. 2011;154:195–206. https://doi.org/10.1159/000321106.

    Article  CAS  Google Scholar 

  64. Wiria AE, Hamid F, Wammes LJ, Kaisar MMM, May L, Prasetyani MA, et al. The effect of three-monthly albendazole treatment on malarial parasitemia and allergy: a household-based cluster-randomized, double-blind. Placebo-Controlled Trial PLOS ONE. 2013;8:e57899. https://doi.org/10.1371/journal.pone.0057899.

    Article  CAS  Google Scholar 

  65. Schei MA, Hessen JO, Smith KR, Bruce N, McCracken J, Lopez V. Childhood asthma and indoor woodsmoke from cooking in Guatemala. J Expo Sci Environ Epidemiol. 2004;14:S110–7. https://doi.org/10.1038/sj.jea.7500365.

    Article  Google Scholar 

  66. Kraai S, Verhagen LM, Valladares E, Goecke J, Rasquin L, Colmenares P, et al. High prevalence of asthma symptoms in Warao Amerindian children in Venezuela is significantly associated with open-fire cooking: a cross-sectional observational study. Respir Res. 2013;14:76. https://doi.org/10.1186/1465-9921-14-76.

    Article  Google Scholar 

  67. Guarnieri M, Balmes JR. Outdoor air pollution and asthma. Lancet. 2014;383:1581–92. https://doi.org/10.1016/S0140-6736(14)60617-6.

    Article  CAS  Google Scholar 

  68. Nayek S, Padhy PK. Approximation of personal exposure to fine particulate matters (PM2.5) during cooking using solid biomass fuels in the kitchens of rural West Bengal. India Environ Sci Pollut Res Int. 2018;25:15925–33. https://doi.org/10.1007/s11356-018-1831-7.

    Article  CAS  Google Scholar 

  69. Pope D, Bruce N, Dherani M, Jagoe K, Rehfuess E. Real-life effectiveness of “improved” stoves and clean fuels in reducing PM2.5 and CO: systematic review and meta-analysis. Environ Int. 2017;101:7–18. https://doi.org/10.1016/j.envint.2017.01.012.

    Article  CAS  Google Scholar 

  70. Quansah R, Semple S, Ochieng CA, Juvekar S, Armah FA, Luginaah I, et al. Effectiveness of interventions to reduce household air pollution and/or improve health in homes using solid fuel in low-and-middle income countries: a systematic review and meta-analysis. Environ Int. 2017;103:73–90. https://doi.org/10.1016/j.envint.2017.03.010.

    Article  CAS  Google Scholar 

  71. Sharma D, Jain S. Impact of intervention of biomass cookstove technologies and kitchen characteristics on indoor air quality and human exposure in rural settings of India. Environ Int. 2019;123:240–55. https://doi.org/10.1016/j.envint.2018.11.059.

    Article  CAS  Google Scholar 

  72. Smith-Sivertsen T, Díaz E, Pope D, Lie RT, Díaz A, McCracken J, et al. Effect of reducing indoor air pollution on women’s respiratory symptoms and lung function: the respire randomized trial. Guatemala Am J Epidemiol. 2009;170:211–20. https://doi.org/10.1093/aje/kwp100.

    Article  Google Scholar 

  73. Wong GWK, Brunekreef B, Ellwood P, Anderson HR, Asher MI, Crane J, et al. Cooking fuels and prevalence of asthma: a global analysis of phase three of the international study of asthma and allergies in childhood (ISAAC). Lancet Respir Med. 2013;1:386–94. https://doi.org/10.1016/S2213-2600(13)70073-0.

    Article  CAS  Google Scholar 

  74. Vanker A, Barnett W, Workman L, Nduru PM, Sly PD, Gie RP, et al. Early-life exposure to indoor air pollution or tobacco smoke and lower respiratory tract illness and wheezing in African infants: a longitudinal birth cohort study. Lancet Planet Health. 2017;1:e328–36. https://doi.org/10.1016/S2542-5196(17)30134-1.

    Article  Google Scholar 

  75. Lambert L, Savastano LB, Vargas SL, Duim EL, Ciaccia MCC, Rullo VE. Overweight/obesity as a risk factor for severe wheezing up to 5 years old. J Allergy Clin Immunol. 2018;141:AB4. https://doi.org/10.1016/j.jaci.2017.12.012.

    Article  Google Scholar 

  76. Elliot JG, Donovan GM, Wang KCW, Green FHY, James AL, Noble PB. Fatty airways: implications for obstructive disease. Eur Respir J. 2019. https://doi.org/10.1183/13993003.00857-2019.

    Article  Google Scholar 

Download references

Acknowledgements

We give our heartfelt thanks to the population of the commune of Comé for their enthusiastic participation in our studies, and in particular the children who agreed to take part in the wheezing study. We are also extremely grateful to both the health and municipal authorities of the commune for their confidence and for their continuous and generous support of our research efforts in Comé. We gratefully acknowledge the dedication and motivation of all members of the wheezing study survey team, namely, Fidèle Houngbégnon, Linda Kitivo, Gildas Avokpaho, Sylvestre Lokossou, Corneille Agbo, Malicka Ibikounlé.

Funding

The wheezing study was funded by the French Research Institute for Sustainable Development (IRD) through the International Mixed Laboratory LMI CONS_HELM (helminth infections: treatments and consequences on health and development in the South). https://www.ird.fr/benin/partenariat. The DeWorm3 project is funded by the Bill and Melinda Gates Foundation (OPP1129535) https://www.gatesfoundation.org/. EFGAA is a PhD candidate at the University of Paris Cité, France. He is a staff member of the Deworm3 Benin coordinating team, and is partially funded by the LMI CONS_HELM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

  1. Institut de Recherche Clinique du Bénin, Abomey-Calavi, Benin

    Euripide F. G. A. Avokpaho, Eloic Atindégla, Moudachirou Ibikounlé & Achille Massougbodji

  2. ED 393 Pierre Louis de Santé Publique, Université Paris Cité, Paris, France

    Euripide F. G. A. Avokpaho

  3. MERIT, IRD, Université Paris Cité, Paris, France

    Laure Gineau, Audrey Sabbagh, Adrian J. F. Luty & André Garcia

  4. Ministère de la Santé, Centre National Hospitalo-Universitaire de Pneumo- Phtisiologie, Cotonou, Bénin

    Arnauld Fiogbé

  5. DeWorm3, University of Washington, Seattle, WA, USA

    Sean Galagan & Judd L. Walson

  6. Department of Global Health, University of Washington, Seattle, WA, USA

    Sean Galagan & Judd L. Walson

  7. Centre de Recherche Pour La Lutte Contre Les Maladies Infectieuses Tropicales (CReMIT/TIDRC), Université d’Abomey-Calavi, Abomey-Calavi, Bénin

    Moudachirou Ibikounlé

Authors
  1. Euripide F. G. A. Avokpaho
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Laure Gineau
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Audrey Sabbagh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Eloic Atindégla
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Arnauld Fiogbé
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Sean Galagan
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Moudachirou Ibikounlé
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Achille Massougbodji
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Judd L. Walson
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Adrian J. F. Luty
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. André Garcia
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

AG and MI secured funding for the wheezing study. JLW conceptualized and secured funding for the parent study (Deworm3). EFGAA, AG, LG and AS conceptualized the wheezing study and adapted the ISAAC questionnaires; EFGAA and EA were involved in investigation/data collection; EA and SG were involved in data management; EFGAA proceeded to the formal analysis and wrote the first draft of the manuscript. AG, AJFL, JLW, SG, AS, MI, EA, AF, and EFGAA reviewed and edited the manuscript. EFGAA: conceptualization, investigation, methodology, formal analysis, writing—original draft, writing—review and editing. LG: conceptualization, methodology, writing—review and editing. AS: conceptualization, methodology, writing—review and editing. EA: investigation, data management, writing—review and editing. AF: methodology, writing—review and editing. SG: data management, writing—review and editing. MI: supervision, writing—review and editing. AM: writing—review and editing. JLW: writing—review and editing. AJFL: methodology, supervision, writing—review and editing. AG: conceptualization, methodology, supervision, writing—review and editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Euripide F. G. A. Avokpaho.

Ethics declarations

Ethics approval and consent to participate

Ethical approval of the study protocol was obtained from the National Ethics Committee for Health Research of Benin (CNERS ethical clearance reference No: 74/MS/DC/SGM/DFR/CNERS-Ministry of Health, Benin issued on May 6th 2020). Consent was obtained from each participant. For participants aged 6–10 years, verbal assent was obtained and for those aged 11–14 years written assent was obtained. Written consent was collected among all parents prior to data collection. All cases of current wheezing were listed and a medical examination with a pneumologist was organized for the diagnostic and appropriate care and prevention advice to avoid future crises. The parent trial was registered at clinicaltrials.gov (ID NCT03014167).

Competing interests

The authors have declared that no competing interests exist.

Additional information

Publisher's Note

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

Supplementary Information

Additional file 1: Table S1a

: Socio demographic factors univariately associated with current wheezing using logistic regression. Table S1b: Helminth infection and treatment-related factors associated with current wheezing using univariate logistic regression. Table S1c: Air pollution-related factors associated with current wheezing using univariate logistic regression. Table S1d: Allergy-related factors associated with current wheezing using univariate logistic regression.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Avokpaho, E.F.G.A., Gineau, L., Sabbagh, A. et al. Multiple overlapping risk factors for childhood wheeze among children in Benin. Eur J Med Res 27, 304 (2022). https://doi.org/10.1186/s40001-022-00919-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40001-022-00919-1

Keywords

European Journal of Medical Research

ISSN: 2047-783X

Contact us