- Original research article
- Open Access
BMI can influence adult males’ and females’ airway hyperresponsiveness differently
© Sposato et al.; licensee BioMed Central Ltd. 2012
- Received: 2 October 2012
- Accepted: 30 October 2012
- Published: 17 November 2012
Epidemiological data indicate that obesity is a risk factor for asthma, but scientific literature is still debating the association between changes in body mass index (BMI) and airway hyperresponsiveness (AHR).
This study aimed at evaluating the influence of BMI on AHR, in outpatients with symptoms suggestive of asthma.
4,217 consecutive adult subjects (2,439 M; mean age: 38.2±14.9 yrs; median FEV1 % predicted: 100 [IQR:91.88-107.97] and FEV1/FVC % predicted: 85.77% [IQR:81.1-90.05]), performed a methacholine challenge test for suspected asthma. Subjects with PD20 < 200 or 200 < PD20 < 800 or PD20 > 800 were considered affected by severe, moderate or mild AHR, respectively.
A total of 2,520 subjects (60% of all cases) had a PD20 < 3,200 μg, with a median PD20 of 366 μg [IQR:168–1010.5]; 759, 997 and 764 patients were affected by mild, moderate and severe AHR, respectively. BMI was not associated with increasing AHR in males. On the contrary, obese females were at risk for AHR only when those with moderate AHR were considered (OR: 1.772 [1.250-2.512], p = 0.001). A significant reduction of FEV1/FVC for unit of BMI increase was found in moderate AHR, both in males (β = −0.255; p =0.023) and in females (β = −0.451; p =0.017).
Our findings indicate that obesity influences AHR only in females with a moderate AHR level. This influence may be mediated by obesity-associated changes in baseline lung function.
- Airway hyperresponsiveness
- body mass index
- males and females
- methacholine test
A body of evidence has clearly demonstrated an association between obesity and asthma. In fact, obesity increases the risk of asthma and contributes to the occurrence of a more difficult-to-control phenotype of the disease. Likely, this relationship is mediated by obesity-associated changes in lung function[1–3]. Indeed, the extra-pulmonary restrictive syndrome impairs the airway distensibility and causes a reduction in peripheral airway diameter which potentially increases airway hyperresponsiveness (AHR). In addition, hormonal and inflammatory factors, directly related to the adipose tissue, may influence some asthmatic phenotypes[1–3]. The adipose tissue expresses a number of pro-inflammatory molecules, such as leptin, tumour necrosis factor α (TNF-α), interleukin 6 (IL-6), transforming growth factor β1 (TGF- β1), adiponectin and C-reactive protein, which have been shown to modulate the airway inflammatory response thus promoting asthma[1–3].
To explain the mechanism underlying the relationship between obesity and asthma, the association between body mass index (BMI) and AHR has become the field of interest, leading, however, to conflicting results[1–3]. Several studies have shown a significant association between BMI and AHR[2, 4–7], whereas others have failed to confirm this relationship[8–11]. An additional controversial issue is the different role of BMI with regard to gender. In some studies, specifically addressing the influence of gender, the relationship between BMI and asthma appeared to be significant only in females, whereas other investigations did not observe gender-associated differences[2, 4, 6, 7, 12, 13]. The lack of definite data on the association between BMI and asthma may be due to several factors, such as the influence of asthma medications, the inclusion of relatively small numbers of patients and uncorrected asthma diagnosis. The use of inhaled corticosteroids, bronchodilators and anti-leukotriens can influence bronchial provocation test results[14, 15]. Furthermore, when a higher cut-off value is used to define a positive bronchial provocation test, the asthma diagnosis may be overestimated and this can obviously influence the outcome of the relationship with BMI.
To the best of our knowledge, there are no data specifically addressing the relationship between BMI and the different levels of bronchial hyperresponsiveness. With the assumption that there may be an association between BMI and asthma, we hypothesized that this should be different in the various AHR levels (i.e. mild, moderate and severe AHR). We therefore postulated that such a relationship should be more significant in subjects with a severe AHR rather than in subjects with a mild or moderate AHR.
Our retrospective study aimed at exploring in a large cohort of individuals whether there may be an association between BMI and AHR and if this association might be different in the various AHR levels. We also evaluated whether it may be affected by a possible relationship between BMI and baseline pulmonary function. In order to limit the influence of treatment, only subjects not taking asthma medications regularly were included in the study.
A total of 4,217 consecutive adult subjects (2,439 M; mean age 38±14.9 yrs; median FEV1% predicted 100% [IQR: 91.88-107.97] and FEV1/FVC% 85.77% [IQR: 81.1-90.05]), who had performed a methacholine (Mch) bronchoprovocation test, were included. Subjects had been visited in the Pneumology Departments of Grosseto and Arezzo Hospitals (between 2000 and 2010) to confirm an asthma diagnosis. All subjects showed normal baseline lung function and had symptoms suggestive of asthma (unexplained episodes of cough and/or wheezing and/or dyspnea on exertion). FEV1, FEV1/FVC, FVC, FEF25-75 were obtained at baseline (pre-Mch test). The PD20FEV1 was calculated for each bronchoprovocation test and represented the main outcome of the study. Smoking habits, age, sex and BMI were also recorded for analysis. The use of data for the purpose of the study was approved by the local Ethic Committees.
None of the subjects was under regular treatment for asthma at the time of the test. Subjects, who had taken drugs when required, were asked to refrain from taking any medications prior to the Mch bronchoprovocation test. β2-agonist bronchodilators and inhaled or systemic corticosteroids were withheld 24 hours and 3 weeks before the test respectively, while antihistamines were stopped at least 10 days before the test. None of the subjects had suffered from airway infections or asthma exacerbations in the four weeks prior to the test. BMI was calculated by dividing the weight in kilograms by the square of the height in metres (kg/m2). According to the WHO classification, a BMI of < 18.5 kg/m2 describes a condition of underweight, 18.5-24.9 kg/m2 normal weight, 25–29.9 kg/m2 overweight and ≥ 30 kg/m2 obesity.
Mch bronchoprovocation test
The Mch bronchoprovocation test was performed by using a dosimeter method. The same instrument and method were used both in Grosseto and Arezzo in the years 2000–2010. Mch sulphate was supplied by Lofarma (Milan, Italy) and given in aerosol form using an MEFAR MB3 dosimeter (output: 9 μL/puff; MEFAR Elettromedicali Brescia, Italy) with an MB2 ampoule model. Buffer and Mch were diluted with distilled water and then two different progressive Mch solutions were obtained: an ampoule containing an Mch concentration of 4 mg/ml (40 μg inhalation dose) and another with 40 mg/ml (400 μg inhalation dose). The buffer solution was the first to be administered, followed by 40 μg of methacholine, increasing the doses until PD20FEV1 was obtained or until the maximum dose of Mch was reached. FEV1 was measured after inhaling 40, 80, 120, 240, 400, 800, 1,600, 2,400 and 3,200 μg of cumulative Mch doses, respectively. At the end of exhalation, during tidal breathing, patients inhaled Mch slowly and deeply from the nebulizer in 5 seconds and then held their breath for 5 additional seconds. The test was interrupted if a fall in FEV1>10% occurred with the buffer solution. The interval between two consecutive steps was 2 minutes. FEV1 was measured at 30 and 90 seconds after nebulization. An acceptable quality of FEV1 was achieved at each step. No more than two maneuvers after each dose were allowed and the highest FEV1 value was considered. AHR was defined by a 20% fall in FEV1 from the reference value (see below) obtained with a cumulative Mch dose < 3,200 μg. Subjects who did not achieve a 20% fall in FEV1 with a Mch dose of 3,200 μg were classified as normoreactive.
Subjects with PD20 ≤ 200, 200 < PD20 ≤ 800 and PD20 > 800 were arbitrarily considered as affected by severe, moderate and mild AHR respectively, with the purpose of evaluating the effects of BMI on the different levels of AHR.
Lung function was measured with an HP 47120E Pulmonary System Desk spirometer (Hewlett Packard, Waltham, Massachusetts - USA). At baseline, FEV1 and FVC were expressed as percentages of the predicted values, whereas FEV1/FVC was reported only as a ratio (reference equation: CECA, 1971). The PD20 FEV1 was assessed by linear interpolation of the dose–response curves. The FEV1 measured before administering the buffer solution was used as the baseline value, while the FEV1 measured after inhaling the buffer solution was used as reference value to calculate FEV1 decrease and thus PD20.
Categorical variables were expressed as number of cases and percentages. Continuous variables were expressed as mean values and standard deviations or median values and interquartile range (IQR – 25° and 75° quartiles) according to whether they were normally distributed. Nonparametric or parametric tests were performed accordingly. Comparisons of qualitative and quantitative variables among groups were conducted by the chi-square test or the ANOVA one way test, respectively. Moreover, the Bonferroni test was used for multiple comparisons. The logistic binary regression model was applied separately in males and in females to evaluate independent risk factors for AHR. In order to evaluate the risk of the independent variables in the various levels of AHR (severe, moderate and mild), three logistic regression models were performed (both in males and females), considering subjects either with PD20>800 μg, or with PD20>200 and <800 μg, and with PD20<200 μg and comparing them with normal subjects. In these models, BMI was considered as qualitative variables, i.e. underweight, normal weight, overweight and obese subjects. The linear regression model was performed to evaluate whether a relationship existed between BMI and pulmonary function (FEV1, FVC, FEV1/FVC) in all degrees of AHR, adjusted for age, sex and smoking habits. P values < 0.05 were considered statistically significant. The statistical packages SPSS (16.0) was used for analysis.
Characteristics at baseline of 4,217 patients who underwent a methacholine challenge test
N. patients (M/F)
1300 (757/543)*° #
575 (205/370)*° #
1 Current mokers (%)
1 Ex smokers (%)
Patients with normal reactivity
Patients with PD 20 <3200 μg
FEV 1 % of predicted
96.96 [87.43-103.43]*° #
100 [91.79- 108.60]°
100 [90.26- 107.87]#
FVC % of predicted
92.06 [86.74-98.54]*° #
FEV 1 /FVC
90.04 [84.94-95.03]*° #
Median PD 20 [IQR] values measured in males subdivided into various sub-groups taken into account
Aged 18–26 years (n 556)
Aged 27–44 years old (n 394)
Age≥45 years (n 228)
Severe AHR (PD 20 ≤200) (n 367)
Moderate AHR (PD 20 >200 and ≤800) (n 471)
Mild AHR (PD 20 >800) (n 340)
Non-smokers (n 794)
Smokers (n 248)
Total (n 1178)
Median PD 20 [IQR] values measured in females subdivided into various sub-groups taken into account
Aged 18–26 years (n 211)
Aged 27–44 years (n 605)
Age≥45 years (n 526)
Severe AHR (PD 20 ≤200) (n 400)
Moderate AHR (PD 20 >200 and ≤800) (n 523)
Mild AHR (PD 20 >800) (n 419)
Non-smokers (n 889)
Smokers (n 273)
Total (n 1342)
Spearman and partial correlation (r) between PD 20 and BMI in males and females with different AHR levels divided into various sub-groups
All males with AHR
All females with AHR
Males with severe AHR
Females with severe AHR
Males with moderate AHR
Females with moderate AHR
Males with mild AHR
Females with mild AHR
All subjects with AHR (n. 2520)
Aged 18–26 years (n. 767)
Aged 27–44 years (n. 999)
Age≥45 years (n. 754)
Non-smokers (n. 1683)
Smokers (n. 521)
Underweight (n. 53)
Normal weight (n. 1352)
Overweight (n. 770)
Obese (n. 345)
All subjects with AHR 1 (n 2198)
In males, a strong inverse correlation was observed in the mild underweight group between BMI and PD20 (r = −0.500). A similar significant relationship was seen in smokers with moderate AHR (r = −0.239). Positive associations between BMI and PD20 were observed in individuals with severe AHR (r = 0.105) and in particular in those aged over 45 years (r = 0.268). When a partial correlation (adjusted for age, FEV1, FVC and smoking habits) was applied, significantly negative relationships between BMI and PD20 were confirmed in females with moderate AHR and males with mild AHR (Table4).
Logistic binary regression model to evaluate the AHR risk of the various considered covariates in males with different levels of airways hyperresponsiveness (compared to normal subjects)
All AHR subjectsa
Aged 27–44 years) b
Age ≥ 45 years b
FEV 1 % of predicted
FVC % of predicted
Logistic binary regression model to evaluate the risk of the various considered covariates in females with different levels of airways hyperresponsiveness (compared to normal subjects)
All AHR subjectsa
Aged 27–44 years b
Age ≥ 45 years b
FEV 1 % of predicted
FVC % of predicted
Relations between lung function and BMI (regression linear model) corrected for age, season and smoking habits
All AHR subjects
FEV 1 %
FEV 1 /FVC
The current study was performed with the aim of exploring the relationship between BMI and AHR in a large cohort of male and female adults with suspected asthma. Overall, the proportion of hyperresponsive subjects did not differ with body weight in the population tested. Similarly, the level of AHR was equally distributed among the body weight groups. However, an interesting bi-modal behaviour emerged in females with moderate degree of AHR: a “protective” effect of body weight in the underweight condition and a “detrimental” effect of body weight in the obese state, thus describing an imaginary inverted U-shape curve of the relationship between BMI and PD20. These findings suggest that the influence of the adipose tissue on airway function should be further investigated in the moderate hyperresponsive female phenotype.
Our results are in line with some studies[18, 19] that did not find any difference in PD20 values in obese and normal-weight asthmatics, and differ from those observed in the study of Schachter et al., who found an increase in AHR in underweight subjects, although no plausible explanations were provided. Our results in the underweight subgroup are conflicting. In fact, in underweight females with moderate AHR, a significant positive correlation was found between BMI and PD20 which allowed us to infer that increasing weight might reduce the degree of AHR in these subjects. Therefore, the underweight condition in females seems to be a risk factor for AHR even though the logistic regression model did not confirm such a risk. On the contrary, the underweight condition in males seems to be a protective factor for AHR, probably due to hormonal differences.
In addition, our study showed that BMI (adjusted for age, pulmonary function, smoking and seasons) was an AHR risk factor in females but not in males. In fact, the obese status in females was an important AHR risk factor only when subjects with moderate levels of AHR were considered. Like other investigators, we could not find the expected relationship between BMI and PD20 in subjects with severe AHR,. In fact, they found that obesity in asthmatic patients is negatively correlated to the intensity of AHR and not to asthma severity. This could be explained by the fact that in most severe stages, AHR is mainly characterized by a non-reversible component, probably associated with airway structural changes.
The observed different behaviours between sexes can already be found in literature. In fact, other studies showed differences between sexes with regard to the influence of BMI on AHR[2, 4, 6, 7, 12, 13], with a more pronounced association in females[2, 13, 21, 22]. It is plausible that sexual hormones, and in particular estrogens, may play a role in modulating the relationship between BMI and asthma. In obesity, the production of estrogens is generally increased and is associated with early menarche in women and delay in the onset of puberty in men. Some authors demonstrated that the prevalence of asthma, the association between BMI and the severity of the disease were greater in women with early menarche[23, 24]. Furthermore, estrogens and progesterone may modify the inflammatory response to favour a Th2 response. In this respect, β-estradiol enhances eosinophil adhesion to human mucosal microvascular endothelial cells and induces degranulation (unlike the testosterone effect), whereas progesterone increases bronchial eosinophilia and enhances bronchial responsiveness[25, 26]. Another explanation may lie in the different abdominal fat distribution in males and females. In the latter, there is a greater subcutaneous fat distribution, whereas in males a higher visceral adipose tissue is observed. Interestingly, the subcutaneous abdominal fat appears to increase the risk of hyperresponsiveness, whereas visceral abdominal fat is not associated with AHR. Furthermore, gynoid fat mass was associated with higher degrees of hyperrresponsiveness after an hypertonic saline challenge test in females. Likely, the higher leptin production from subcutaneous fat rather than visceral fat, with greater values in females compared with males, may be the cause of a more serious status of asthma in obese women[1, 28]. Leptin may activate or increase the airway inflammation in asthmatics[1, 2, 12, 29]; in fact, a relationship between circulating leptin levels and risk of asthma development was observed in females. Recently, an increase in neutrophilic airways inflammation in obese female asthmatics was documented in a study. Another study showed that a gynoid fat mass is associated with a lower concentration of airway eosinophils in females. Therefore, the different influence of BMI on AHR could be due to a different inflammatory pattern induced by obesity in males and females. Likely, a higher production of leptin from subcutaneous adipose tissue, which is typical of females, promotes T-helper type 1 cell differentiation and increases activation of neutrophils via tumour necrosis factor α.
The alternative explanation for our findings could be a pure mechanical factor, as demonstrated by the influence of the reduction in the FEV1/FVC ratio for unit of BMI increase (obstructive pattern). An excess soft tissue weight compressing the thoracic cage, a fatty infiltration of chest wall and an increase in pulmonary blood volume, might contribute to determine a reduction in lung volumes for a mechanical effect especially in females[2, 20, 31]. This is associated with an impairment in the lung inflation-induced airway distensibility and a reduction in airway peripheral diameter, which, over time, alter smooth muscle function thus increasing both airway obstruction and consequently AHR. In our study, the FEV1 increase was a protective factor for AHR in both sexes, therefore suggesting that a reduction of lung function may favour AHR. It is likely that the already smaller calibre of airways in females may be influenced by BMI-induced obstruction in a more pronounced fashion than in males. This is supported by other studies who also observed a greater effect of adipose tissue on females’ lung function compared with males’[13, 32].
Another interesting result of this study, as already pointed out, is the different relationship between BMI and AHR at various levels of AHR (mild, moderate and severe) in females. The absence of any associations between BMI and mild AHR is certainly due to the fact that a great proportion of subjects belonging to this group did not result asthmatics. In fact, high values of PD20 or PC20, in case of suspected asthma (as in our patients), make an asthma diagnosis less probable. It is difficult to explain why BMI and AHR are associated only in moderate hyperresponsive females and not in severe AHR. The factors that contribute to AHR may be divided into two categories: persistent and variable. The airway structural changes (i.e. sub-endothelial and sub-basement membrane thickening, smooth muscle hypertrophy, matrix deposition, and altered vascular components - due to the chronic and long standing airway inflammation) represent persistent alterations. On the other hand, the variable AHR component is believed to relate to inflammatory airway events, which may vary and be influenced by numerous environmental events (ie, allergens, respiratory infections and treatment). It is logical to hypothesize that these two components are interrelated. Obesity is a chronic inflammatory state[1, 2] and may have a variable component role in the bronchial hyperreactivity mechanism. In fact, neutrophilic airways inflammation is increased by obesity and fatty acids in asthma. Similarly, weight loss, through bariatric surgery, produces significant reductions in exhaled nitric oxide concentrations in obese asthmatic patients. Proinflammatory molecules, expressed by adipose tissue such as leptin, TNF-α, IL-6, TGF- β1, adiponectin and C-reactive protein, increase in obese subjects[1, 2, 12], especially in females (above all C-reactive protein and leptin). These obesity factors may interfere with persistent AHR mechanisms and they may be greater in severe than in moderate AHR. In fact, the exhaled nitric oxide level increases significantly with the increasing of the AHR level in asthmatics[35, 36]. Patients with intermittent asthma also showed airway inflammation but to a lower extent than those with persistent asthma. Therefore, the supposed additional effects of inflammatory components, due to obesity (variable component), may have a lower impact in subjects with severe AHR because they have already a basal high level of asthma induced-inflammation (persistent component). On the other hand, basal airway inflammation may be less extensive in subjects with moderate AHR and therefore the variable inflammatory effect of weight may be greater, thus influencing AHR. In other words, systemic inflammation (BMI-induced) might influence airways inflammation only in asthma mild forms, whereas this influence might be trivial in more severe asthmatics. The fact that we could not find any relationships between BMI and pulmonary function in females with severe AHR strengthens our hypothesis.
Obesity may influence AHR in females with moderate hyperresponsiveness through a greater bronchial obstruction (reduced FEV1/FVC for unit of BMI increase). Reduction in FEV1/FVC was also found both in obese children and adults, but not confirmed by Scott et al.. This low level of FEV1/FVC may be a consequence of a systemic inflammation induced by adipose tissues or simply the mechanical effect of weight. When AHR becomes severe, the relationship between BMI and pulmonary function disappears so that we may hypothesize that the factors responsible for AHR may be only due to airway inflammation but probably not to systemic BMI induced inflammation and probably not to mechanical induced obstruction either.
In conclusion, obesity can influence airway hyperresponsiveness only in females and only when the AHR level is moderate. No effects of BMI were found in males and in severe AHR. This BMI-induced influence may be mediated by a greater airway obstruction, probably due to a systemic inflammation or a purely weight associated mechanical effect.
The authors acknowledge Prof. Piero Angelo Lenzi for his professional and linguistic editing.
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