Literature DB >> 11964930

Indoor risk factors for asthma in a prospective study of adolescents.

Rob McConnell1, Kiros Berhane, Frank Gilliland, Talat Islam, W James Gauderman, Stephanie J London, Edward Avol, Edward B Rappaport, Helene G Margolis, John M Peters.   

Abstract

BACKGROUND: The risk of asthma associated with pets and other indoor exposures has been examined in both cross-sectional and prospective studies of younger children. However, there has been little investigation of the effect of the indoor environment on incident asthma in adolescents.
METHODS: Risk factors for the development of asthma were examined in a cohort of 3535 Southern California school children with no history of asthma at 1993 entry into the study, who were followed for up to 5 years. Newly diagnosed cases of asthma were identified by yearly interview report. A total of 265 children reported a new diagnosis of asthma during the follow-up period; 163 of these had reported no history of wheeze at baseline. The risk associated with indoor exposures assessed by questionnaire at entry into the study was examined using Cox proportional hazards models.
RESULTS: In children with no history of wheezing, an increased risk of developing asthma was associated with a humidifier (relative risk [RR] = 1.7; 95% confidence interval [CI] = 1.2-2.4), any pet (RR = 1.6; 95% CI = 1.0-2.5), or specifically a dog (RR = 1.4; 95% CI = 1.0-2.0) in the home. An estimated 32% of new asthma cases could be attributed to pets.
CONCLUSIONS: We conclude that furry pets are a common and potentially remediable risk factor for new onset asthma in adolescents. Our results suggest that a humidifier in the home may contribute to the onset of asthma in this age group.

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Year:  2002        PMID: 11964930     DOI: 10.1097/00001648-200205000-00009

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  19 in total

1.  Indoor allergens, asthma, and asthma-related symptoms among adolescents in Wuhan, China.

Authors:  Päivi M Salo; Jiang Xia; C Anderson Johnson; Yan Li; Edward L Avol; Jie Gong; Stephanie J London
Journal:  Ann Epidemiol       Date:  2004-09       Impact factor: 3.797

2.  The National Asthma Survey--New York State: association of the home environment with current asthma status.

Authors:  Trang Nguyen; Melissa Lurie; Marta Gomez; Amanda Reddy; Kruti Pandya; Michael Medvesky
Journal:  Public Health Rep       Date:  2010 Nov-Dec       Impact factor: 2.792

3.  Asthma prevalence and severity in Arab American communities in the Detroit area, Michigan.

Authors:  Mary Johnson; Jerome Nriagu; Adnan Hammad; Kathryn Savoie; Hikmet Jamil
Journal:  J Immigr Health       Date:  2005-07

4.  The association between contextual socioeconomic factors and prevalent asthma in a cohort of Southern California school children.

Authors:  Ketan Shankardass; Rob S McConnell; Joel Milam; Kiros Berhane; Zaria Tatalovich; John P Wilson; Michael Jerrett
Journal:  Soc Sci Med       Date:  2007-07-20       Impact factor: 4.634

5.  High allergen exposure as a risk factor for asthma and allergic disease.

Authors:  Catarina Almqvist
Journal:  Clin Rev Allergy Immunol       Date:  2005-02       Impact factor: 8.667

6.  Chronic poverty and childhood asthma in the Maritimes versus the rest of Canada.

Authors:  Lynn N Lethbridge; Shelley A Phipps
Journal:  Can J Public Health       Date:  2005 Jan-Feb

7.  The effects of building-related factors on classroom relative humidity among North Carolina schools participating in the 'Free to Breathe, Free to Teach' study.

Authors:  K A Angelon-Gaetz; D B Richardson; D M Lipton; S W Marshall; B Lamb; T LoFrese
Journal:  Indoor Air       Date:  2015-01-03       Impact factor: 5.770

8.  Mould/dampness exposure at home is associated with respiratory disorders in Italian children and adolescents: the SIDRIA-2 Study.

Authors:  M Simoni; E Lombardi; G Berti; F Rusconi; S La Grutta; S Piffer; M G Petronio; C Galassi; F Forastiere; G Viegi
Journal:  Occup Environ Med       Date:  2005-09       Impact factor: 4.402

9.  Dynamic Latent Trait Models with Mixed Hidden Markov Structure for Mixed Longitudinal Outcomes.

Authors:  Yue Zhang; Kiros Berhane
Journal:  J Appl Stat       Date:  2015-10-02       Impact factor: 1.404

10.  Housing characteristics and children's respiratory health in the Russian Federation.

Authors:  John D Spengler; Jouni J K Jaakkola; Helen Parise; Boris A Katsnelson; Larissa I Privalova; Anna A Kosheleva
Journal:  Am J Public Health       Date:  2004-04       Impact factor: 9.308

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