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Cesarean section without medical indication and risk of childhood asthma, and attenuation by breastfeeding.


ABSTRACT: Previous studies suggest that caesarean section (CS) may increase the risk of asthma in children, but none of them could preclude potential confounding effects of underlying medical indications for CS. We aim to assess the association between CS itself (without medical indications) and risk of childhood asthma.We conducted a hospital-based case-control study on childhood asthma with 573 cases and 812 controls in Shanghai. Unconditional logistic regression models in SAS were employed to control for potential confounders.Our study found that CS without medical indication was significantly associated with elevated asthma risk (adjusted OR = 1.58 [95% CI 1.17-2.13]). However, this risk was attenuated in children fed by exclusive breastfeeding in the first six months after birth (adjusted OR = 1.39 [95% CI 0.92-2.10]). In contrast, the risk was more prominent in children with non-exclusive breastfeeding or bottle feeding (adjusted OR = 1.91 [95% CI 1.22-2.99]).CS without medical indication was associated with an increased risk of childhood asthma. Exclusive breastfeeding in infancy may attenuate this risk.

SUBMITTER: Chu S 

PROVIDER: S-EPMC5602659 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Cesarean section without medical indication and risk of childhood asthma, and attenuation by breastfeeding.

Chu Shuyuan S   Chen Qian Q   Chen Yan Y   Bao Yixiao Y   Wu Min M   Zhang Jun J  

PloS one 20170918 9


<h4>Background</h4>Previous studies suggest that caesarean section (CS) may increase the risk of asthma in children, but none of them could preclude potential confounding effects of underlying medical indications for CS. We aim to assess the association between CS itself (without medical indications) and risk of childhood asthma.<h4>Methods</h4>We conducted a hospital-based case-control study on childhood asthma with 573 cases and 812 controls in Shanghai. Unconditional logistic regression model  ...[more]

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