The relationship between coffee consumption and the prevalence of bronchial asthma has been evaluated using data from the 1983 Italian National Health Survey, based on 72,284 individuals aged over 15 years randomly selected within strata of geographic area, size of the place of residence and of the household in order to be representative of the whole Italian population. The prevalence of bronchial asthma was inversely related with the level of coffee intake. Compared with subjects who did not drink coffee, the age- and sex-adjusted relative risks were 0.95 for one cup, 0.77 for two and 0.72 for three or more cups per day. This inverse relation was of comparable magnitude at younger and older ages, not explainable through selection, since the sample was representative of the general Italian population and the participation rate was 93.4 percent, or through confounding by several identified potential distorting factors. Thus, the results of this survey provide epidemiologic confirmation of previous clinical observations that caffeine intake has a bronchodilator effect in asthma, and indirectly suggest that long-term moderate coffee consumption may not only reduce symptoms, but also prevent the clinical manifestation of bronchial asthma. An alternative explanation of these findings is that subjects receiving treatment for asthma might tend to reduce their coffee consumption, in consequence of the side effects shared by sympathomimetics, theophylline and caffeine. Thus, further studies taking simultaneously into account methylxanthine intake from beverages and drug treatments are required before considering causal the apparent protection which emerged.
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http://dx.doi.org/10.1378/chest.94.2.386 | DOI Listing |
Genome-wide association studies (GWAS) have identified genetic variants robustly associated with asthma. A potential near-term clinical application is to calculate polygenic risk score (PRS) to improve disease risk prediction. The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear.
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Department of Endocrinology, China-Japan Friendship Hospital, No.2 Yinghuayuan East Street, Hepingli, Chaoyang District, 100029, Beijing, China.
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Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Electronic health records (EHRs) provide a rich source of observational patient data that can be explored to infer underlying causal relationships. These causal relationships can be applied to augment medical decision-making or suggest hypotheses for healthcare research. In this study, we explored a large-scale EHR dataset on patients with asthma or related conditions (N = 14,937).
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School of Medicine, Universidad de La Sabana, Chía, Colombia.
Background: Chronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures has emerged as an effective strategy to address this issue. We developed a new diagnostic tool, the COPD-Asthma Differentiation Questionnaire (CAD-Q), to differentiate between COPD and asthma in adults.
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