Herman T den Dekker1, Karen P I Ros1, Johan C de Jongste2, Irwin K Reiss3, Vincent W Jaddoe4, Liesbeth Duijts5. 1. Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Pediatrics, Division of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands. 2. Department of Pediatrics, Division of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands. 3. Department of Pediatrics, Division of Neonatology, Erasmus University Medical Center, Rotterdam, The Netherlands. 4. Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands. 5. Department of Pediatrics, Division of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Pediatrics, Division of Neonatology, Erasmus University Medical Center, Rotterdam, The Netherlands. Electronic address: l.duijts@erasmusmc.nl.
Abstract
BACKGROUND: Obesity and asthma often coexist. We hypothesized that detailed body fat distribution measures might be more strongly associated than body mass index (BMI) with childhood asthma. OBJECTIVE: We examined the associations of total body and abdominal fat measures with respiratory resistance (Rint), fractional exhaled nitric oxide (Feno), and risks of wheezing and asthma in school-aged children. METHODS: In a population-based prospective cohort study among 6178 children aged 6 years, we measured BMI, fat mass index, android/gynoid ratio, and preperitoneal 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. RESULTS: A higher BMI was associated with a higher Rint (Z score [95% CI], 0.06 [0.01-0.12]) and increased risk of wheezing (odds ratio [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 to -3.4]), whereas a high preperitoneal 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. CONCLUSIONS: Studying detailed body fat distribution measures might provide better insight into the obesity-asthma paradigm.
BACKGROUND: Obesity and asthma often coexist. We hypothesized that detailed body fat distribution measures might be more strongly associated than body mass index (BMI) with childhood asthma. OBJECTIVE: We examined the associations of total body and abdominal fat measures with respiratory resistance (Rint), fractional exhaled nitric oxide (Feno), and risks of wheezing and asthma in school-aged children. METHODS: In a population-based prospective cohort study among 6178 children aged 6 years, we measured BMI, fat mass index, android/gynoid ratio, and preperitoneal 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. RESULTS: A higher BMI was associated with a higher Rint (Z score [95% CI], 0.06 [0.01-0.12]) and increased risk of wheezing (odds ratio [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 to -3.4]), whereas a high preperitoneal 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. CONCLUSIONS: Studying detailed body fat distribution measures might provide better insight into the obesity-asthma paradigm.
Authors: Francisca de Castro Mendes; Inês Paciência; João Cavaleiro Rufo; Diana Silva; Pedro Cunha; Mariana Farraia; Luís Delgado; Pedro Moreira; André Moreira Journal: ERJ Open Res Date: 2019-11-04
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