ArticlePloS one2012
A comparison of three methods to measure asthma in epidemiologic studies: results from the Danish National Birth Cohort.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Prenatal maternal stress and atopic diseases in the child: a systematic review of observational human studies.Allergy · 2016Pooled it
- Birth Cohort Studies of Long-Term Exposure to Ambient Air Pollution in Early Life and Development of Asthma in Children and Adolescents from Denmark.Research report (Health Effects Institute) · 2024Article
- Exposure to different residential indoor characteristics during childhood and asthma in adolescence: a latent class analysis of the Danish National Birth Cohort.European journal of epidemiology · 2024Article
- The influence of early-life animal exposure on the risk of childhood atopic dermatitis, asthma and allergic rhinoconjunctivitis: findings from the Danish National Birth Cohort.International journal of epidemiology · 2023Article
- Early-Life Exposure to Ambient Air Pollution from Multiple Sources and Asthma Incidence in Children: A Nationwide Birth Cohort Study from Denmark.Environmental health perspectives · 2023Article
- Self-Reported Asthma Is Associated with Reduced Sperm Count-A Cross-Sectional Study of More than 6000 Young Men from the General Population.Life (Basel, Switzerland) · 2023Article
- National, longitudinal NASCITA birth cohort study to investigate the health of Italian children and potential influencing factors.BMJ open · 2022Observational
- Natural history and associated early life factors of childhood asthma: a population registry-based cohort study in Denmark.BMJ open · 2021Article
- Air pollution and family related determinants of asthma onset and persistent wheezing in children: nationwide case-control study.BMJ (Clinical research ed.) · 2020Article
- Enterovirus D68 respiratory infection in a children's hospital in Japan in 2015.Pediatrics international : official journal of the Japan Pediatric Society · 2019Article
- Agreement in reporting of asthma by parents or offspring - the RHINESSA generation study.BMC pulmonary medicine · 2018Article
- High probability of comorbidities in bronchial asthma in Germany.NPJ primary care respiratory medicine · 2017Article
- Article
- Predictors of asthma following severe respiratory syncytial virus (RSV) bronchiolitis in early childhood.Pediatric pulmonology · 2016Observational
- The Danish National Database for Asthma.Clinical epidemiology · 2016Review
- The Danish National Database for Asthma: establishing clinical quality indicators.European clinical respiratory journal · 2016Review
- Time Trends in Racial and Ethnic Disparities in Asthma Prevalence in the United States From the Behavioral Risk Factor Surveillance System (BRFSS) Study (1999-2011).American journal of public health · 2015Article
- Sudden death in young persons with uncontrolled asthma--a nationwide cohort study in Denmark.BMC pulmonary medicine · 2015Article
- Article
- Birth weight, gestational age, fetal growth and childhood asthma hospitalization.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2014Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a heterogeneous outcome and how the condition should be measured to best capture clinically relevant disease in epidemiologic studies remains unclear. We compared three methods of measuring asthma in the Danish National Birth Cohort (n>50.000). When the children were 7 years old, the prevalence of asthma was estimated from a self-administered questionnaire using parental report of doctor diagnoses, ICD-10 diagnoses from a population-based hospitalization registry, and data on anti-asthmatic medication from a population-based prescription registry. We assessed the agreement between the methods using kappa statistics. Highest prevalence of asthma was found using the prescription registry (32.2%) followed by the self-report (12.0%) and the hospitalization registry (6.6%). We found a substantial non-overlap between the methods (kappa = 0.21-0.38). When all three methods were combined the asthma prevalence was 3.6%. In conclusion, self-reported asthma, ICD-10 diagnoses from a hospitalization registry and data on anti-asthmatic medication use from a prescription registry lead to different prevalences of asthma in the same cohort of children. The non-overlap between the methods may be due to different abilities of the methods to identify cases with different phenotypes, in which case they should be treated as separate outcomes in future aetiological studies.
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