Body fat mass distribution and interrupter resistance, fractional exhaled nitric oxide and asthma at school-age

Publication date: Available online 16 July 2016
Source:Journal of Allergy and Clinical Immunology
Author(s): Herman T. den Dekker, Karen PI. Ros, Johan C. de Jongste, Irwin K. Reiss, Vincent WV. Jaddoe, Liesbeth Duijts
BackgroundObesity and asthma often coexist. We hypothesized that detailed body fat distribution measures might be more strongly associated with childhood asthma than body mass index (BMI).ObjectiveWe examined the associations of total body and abdominal fat measures with respiratory resistance (Rint), fractional exhaled nitric oxide (FeNO), and the risks of wheezing and asthma in school-aged children.MethodsIn a population-based prospective cohort study among 6,178 children aged 6 years, we measured BMI, fat mass index, android/gynoid ratio and pre-peritoneal and subcutaneous fat mass by physical examinations, Dual-energy X-ray absorptiometry and ultrasound, respectively. We performed Rint and FeNO measurements, and assessed physician-diagnosed wheezing and asthma by questionnaires.ResultsA higher BMI was associated with a higher Rint (Z-score (95% CI): 0.06 (0.01, 0.12)) and increased risk of wheezing (OR (95% CI): 1.07 (1.00, 1.14), per Z-score BMI increase), but not with FeNO or asthma. A high fat mass index was associated with a higher Rint (Z-score (95% CI): 0.40 (0.13, 0.68)). A high android/gynoid fat mass ratio was associated with a lower FeNO (Sym% (95% CI): -9.8 (-16.3, -3.4)), whereas a high pre-peritoneal fat mass was associated with a higher FeNO (Sym% (95% CI): 6.5 (0.1, 12.9)). Subcutaneous fat mass was not associated with any respiratory outcome.ConclusionStudying detailed body fat distribution measures might provide better insight of the obesity-asthma paradigm.

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Teaser

Our results support the hypothesis that local fat deposits affect the associations between obesity and asthma, and more detailed measurements of total and abdominal fat mass distribution might be better predictors for the development of lung function impairment and asthma in childhood.


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