Literature DB >> 11479189

Predictors of asthma in young children: does reporting source affect our conclusions?

J E Miller1.   

Abstract

Both the size and statistical significance of sociodemographic and early health risk factors on childhood asthma vary across studies, in part because some studies rely on parents' retrospective reports of health conditions while others are based on medical records. The authors compare predictors of asthma alternately using maternal reports and medical records for the same set of children. Data are from the 1988 National Maternal and Infant Health Survey and 1991 Longitudinal Follow-up, which collected information from birth certificates, medical records, and mothers of a nationally representative, population-based cohort, allowing comparison across data sources for a consistent sample of young children in the United States. Concordance between maternal reports and medical records on asthma is moderate (kappa = 0.48). The authors find considerable discrepancies in both the estimated prevalence of asthma and the distribution across children with different sociodemographic and health characteristics, depending on the source of asthma data. Black race, male gender, and preterm birth are found to be risk factors for asthma regardless of data source. Poverty, large family size, urban residence, maternal smoking, and breastfeeding are significantly associated with asthma based on maternal reports but not medical records. Lower health care utilization among poor, uninsured, and urban children may account for part of the discrepancy.

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Mesh:

Year:  2001        PMID: 11479189     DOI: 10.1093/aje/154.3.245

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

1.  Diagnostic and treatment behaviour in children with chronic respiratory symptoms: relationship with socioeconomic factors.

Authors:  G Ng Man Kwong; C Das; A R Proctor; M K B Whyte; R A Primhak
Journal:  Thorax       Date:  2002-08       Impact factor: 9.139

2.  Rodent allergen in Los Angeles inner city homes of children with asthma.

Authors:  Jill Berg; Rob McConnell; Joel Milam; Judith Galvan; Jenny Kotlerman; Peter Thorne; Craig Jones; Ronald Ferdman; Peyton Eggleston; Cynthia Rand; Mary Ann Lewis; John Peters; Jean Richardson
Journal:  J Urban Health       Date:  2007-11-15       Impact factor: 3.671

3.  Determinants of asthma after severe respiratory syncytial virus bronchiolitis.

Authors:  Leonard B Bacharier; Rebecca Cohen; Toni Schweiger; Huiquing Yin-Declue; Chandrika Christie; Jie Zheng; Kenneth B Schechtman; Robert C Strunk; Mario Castro
Journal:  J Allergy Clin Immunol       Date:  2012-03-22       Impact factor: 10.793

4.  The Impact of Parent's Health Literacy on Pediatric Asthma Outcomes.

Authors:  Kathleen F Harrington; Bin Zhang; Teresa Magruder; William C Bailey; Lynn B Gerald
Journal:  Pediatr Allergy Immunol Pulmonol       Date:  2015-03-01       Impact factor: 1.349

5.  Infant milk-feeding practices and food allergies, allergic rhinitis, atopic dermatitis, and asthma throughout the life span: a systematic review.

Authors:  Darcy Güngör; Perrine Nadaud; Concetta C LaPergola; Carol Dreibelbis; Yat Ping Wong; Nancy Terry; Steve A Abrams; Leila Beker; Tova Jacobovits; Kirsi M Järvinen; Laurie A Nommsen-Rivers; Kimberly O O'Brien; Emily Oken; Rafael Pérez-Escamilla; Ekhard E Ziegler; Joanne M Spahn
Journal:  Am J Clin Nutr       Date:  2019-03-01       Impact factor: 7.045

6.  Maternal pre-pregnancy obesity and diagnosis of asthma in offspring at age 3 years.

Authors:  Nancy E Reichman; Lenna Nepomnyaschy
Journal:  Matern Child Health J       Date:  2007-11-07

7.  Accuracy of weight perception among urban early adolescents with uncontrolled asthma and their caregivers.

Authors:  Melanie Jay; Cesalie Stepney; N Ari Wijetunga; Grace Akinrinade; Karen Dorsey; Jean-Marie Bruzzese
Journal:  Ann Behav Med       Date:  2013-04

Review 8.  Too clean, or not too clean: the hygiene hypothesis and home hygiene.

Authors:  S F Bloomfield; R Stanwell-Smith; R W R Crevel; J Pickup
Journal:  Clin Exp Allergy       Date:  2006-04       Impact factor: 5.018

9.  A diagnostic codes-based algorithm improves accuracy for identification of childhood asthma in archival data sets.

Authors:  Hee Yun Seol; Chung-Il Wi; Euijung Ryu; Katherine S King; Rohit D Divekar; Young J Juhn
Journal:  J Asthma       Date:  2020-05-20

10.  Birth weight, gestational age, fetal growth and childhood asthma hospitalization.

Authors:  Xiaoqin Liu; Jørn Olsen; Esben Agerbo; Wei Yuan; Sven Cnattingius; Mika Gissler; Jiong Li
Journal:  Allergy Asthma Clin Immunol       Date:  2014-03-06       Impact factor: 3.406

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