BACKGROUND: Many studies have shown an association between the risk of increased recurrent respiratory infections and socioeconomic and fostering factors, but often only a few risk factors have been studied. This study aimed to identify and compare such factors between urban and rural preschool children. METHODS: Case control studies were conducted in Yiwu urban and rural areas respectively in Zhejiang Province. A structured questionnaire was used to collect information on influencing factors such as socioeconomic factors, fostering factors, and housing conditions. The chi-square test was used to compare the distribution of some health related factors between urban and rural children. Risk factor analyses were also made in urban and rural children respectively. Univariate and multivariate analyses were made using the binary logistic regression. RESULTS: Multivariate analysis showed that maternal age (OR=0.94, 95%CI: 0.89-0.99), asthma (OR=2.34, 95%CI: 1.22-4.48), rickets (OR=5.03, 95%CI: 2.10-12.05), snack (OR=1.62, 95%CI: 1.19-2.20), traffic mode (OR=1.38, 95%CI: 1.03-1.86), living with patients with chronic respiratory system disease (OR=1.79, 95%CI: 1.02-3.15), and indoor passive smoking (OR=1.46, 95%CI: 1.02-2.10) were the influencing factors for recurrent respiratory infections in urban children. Rickets (OR=3.77, 95% CI: 1.13-12.65) and passive smoking (OR=2.33, 95% CI: 1.17-4.65) were the influencing factors for recurrent respiratory infections in rural children. CONCLUSIONS: Public health measures against risk factors should be taken to prevent the occurrence of recurrent respiratory infections in urban and rural children respectively.
BACKGROUND: Many studies have shown an association between the risk of increased recurrent respiratory infections and socioeconomic and fostering factors, but often only a few risk factors have been studied. This study aimed to identify and compare such factors between urban and rural preschool children. METHODS: Case control studies were conducted in Yiwu urban and rural areas respectively in Zhejiang Province. A structured questionnaire was used to collect information on influencing factors such as socioeconomic factors, fostering factors, and housing conditions. The chi-square test was used to compare the distribution of some health related factors between urban and rural children. Risk factor analyses were also made in urban and rural children respectively. Univariate and multivariate analyses were made using the binary logistic regression. RESULTS: Multivariate analysis showed that maternal age (OR=0.94, 95%CI: 0.89-0.99), asthma (OR=2.34, 95%CI: 1.22-4.48), rickets (OR=5.03, 95%CI: 2.10-12.05), snack (OR=1.62, 95%CI: 1.19-2.20), traffic mode (OR=1.38, 95%CI: 1.03-1.86), living with patients with chronic respiratory system disease (OR=1.79, 95%CI: 1.02-3.15), and indoor passive smoking (OR=1.46, 95%CI: 1.02-2.10) were the influencing factors for recurrent respiratory infections in urban children. Rickets (OR=3.77, 95% CI: 1.13-12.65) and passive smoking (OR=2.33, 95% CI: 1.17-4.65) were the influencing factors for recurrent respiratory infections in rural children. CONCLUSIONS: Public health measures against risk factors should be taken to prevent the occurrence of recurrent respiratory infections in urban and rural children respectively.
Authors: Robert E Black; Simon Cousens; Hope L Johnson; Joy E Lawn; Igor Rudan; Diego G Bassani; Prabhat Jha; Harry Campbell; Christa Fischer Walker; Richard Cibulskis; Thomas Eisele; Li Liu; Colin Mathers Journal: Lancet Date: 2010-05-11 Impact factor: 79.321
Authors: Yngvild E Bentdal; Siri E Håberg; Gunnhild Karevold; Hein Stigum; Kari J Kvaerner; Per Nafstad Journal: Int J Pediatr Otorhinolaryngol Date: 2009-12-02 Impact factor: 1.675
Authors: Tristram Ingham; Michael Keall; Bernadette Jones; Daniel R T Aldridge; Anthony C Dowell; Cheryl Davies; Julian Crane; Jessica Barbara Draper; Lauren Olivia Bailey; Helen Viggers; Thorsten Villiers Stanley; Philip Leadbitter; Mereana Latimer; Philippa Howden-Chapman Journal: Thorax Date: 2019-08-14 Impact factor: 9.139