Childhood body mass index and wheezing disorders: a systematic review and meta‐analysis

Mebrahtu, Teumzghi F; Feltbower, Richard; Greenwood, Darren C.; Parslow, Roger C

doi:10.1111/pai.12321

Cited by 51 publications

(52 citation statements)

References 78 publications

(147 reference statements)

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“…Several previous studies reported effects of rapid weight gain and larger weight on the development of wheezing in children,3–11 27 28 but other studies have failed to replicate these findings 12–14. Discrepancies between studies could be partially due to methodological issues, such as different outcome definitions, growth modelling methods and periods of exposure and outcome assessment.…”

Section: Discussionmentioning

confidence: 99%

Infant weight trajectories and early childhood wheezing: the NINFEA birth cohort study

Popović

Pizzi

Rusconi

et al. 2016

Thorax

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Section: Discussionmentioning

confidence: 99%

Infant weight trajectories and early childhood wheezing: the NINFEA birth cohort study

Popović

Pizzi

Rusconi

et al. 2016

Thorax

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“…Potential predictors of asthma diagnosis were identified a priori through a literature review and were included as covariates in the analysis. Child factors included age, sex, and body mass index (zBMI) . A parent completed questionnaire, adapted from the Canadian Community Health Survey, was used to define parental and household factors which included median household income, parental smoking, child's history of atopy (eczema or atopic dermatitis), child's history of allergies, daycare attendance, and family history of asthma .…”

Section: Methodsmentioning

confidence: 99%

Agreement between a health claims algorithm and parent‐reported asthma in young children

Omand

Maguire

O'Connor

et al. 2019

Pediatric Pulmonology

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Introduction Asthma prevalence is commonly measured in national surveys by questionnaire. The Ontario Asthma Surveillance Information System (OASIS) developed a validated health claims diagnosis algorithm to estimate asthma prevalence. The primary objective was to assess the agreement between two approaches of measuring asthma in young children. Secondary objectives were to identify concordant and discordant pairs, and to identify factors associated with disagreement. Study design and setting A measurement study to evaluate the agreement between the OASIS algorithm and parent‐reported asthma (criterion standard). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Multivariable logistic regression was used to determine factors associated with disagreement. Results Healthy children aged 1 to 5 years (n =3642) participating in the TARGet Kids! practice based research network 2008‐2013 in Toronto, Canada were included. Prevalence of asthma was 14% and 6% by the OASIS algorithm and parent‐reported asthma, respectively. The Kappa statistic was 0.43, sensitivity 81%, specificity 90%, PPV 34%, and NPV 99%. There were 3249 concordant and 393 discordant pairs. Statistically significant factors associated with asthma identified by OASIS but not parent report included: male sex, higher zBMI, and parent history of asthma. Males were less likely to have asthma identified by parent report but not OASIS. Conclusion The OASIS algorithm identified more asthma cases in young children than parent‐reported asthma. The OASIS algorithm had high sensitivity, specificity, and NPV but low PPV relative to parent‐reported asthma. These findings need replication in other populations.

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“…), многие из которых синтезируются и секретиру-ются клетками жировой (адипозной) ткани [4,5] и поэтому названы адипокинами, включая IL-6, IL-10, эотаксин, фактор некроза опухоли α, трансфор-мируемый фактор роста β1, C-реактивный протеин, лептин и адипонектин. Наконец, было идентифи-цировано, что идентичные локусы генома человека отвечают как за БА, так и за ожирение [6][7][8][9][10][11].…”

Section: ключевые слова: бронхиальная астма избыточная масса тела сunclassified

Investigations into the relationship between respiratory disorders and excessive body weight in the adolescents presenting with bronchial asthma treated based at a specialized health resort facility

Mokina¹,

Yashkov²,

Gudkova³

et al. 2015

Vopr. kurortol. fizioter. lech. fiz. kul't.

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Childhood body mass index and wheezing disorders: a systematic review and meta‐analysis

Abstract: Abstract:BACKGROUND: )t has been claimed that overweight obesity and childhood asthma and

Cited by 51 publications

References 78 publications

Infant weight trajectories and early childhood wheezing: the NINFEA birth cohort study

Infant weight trajectories and early childhood wheezing: the NINFEA birth cohort study

Agreement between a health claims algorithm and parent‐reported asthma in young children

Investigations into the relationship between respiratory disorders and excessive body weight in the adolescents presenting with bronchial asthma treated based at a specialized health resort facility

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