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Sökning: WFRF:(Urrutia I) > Jogi Rain

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1.
  • Amaral, A. F. S., et al. (författare)
  • Changes in IgE sensitization and total IgE levels over 20 years of follow-up
  • 2016
  • Ingår i: Journal of Allergy and Clinical Immunology. - : Elsevier BV. - 0091-6749 .- 1097-6825. ; 137:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Cross-sectional studies have reported a lower prevalence of sensitization in older adults, but few longitudinal studies have examined whether this is an aging or a year-of-birth cohort effect. Objective We sought to assess changes in sensitization and total IgE levels in a cohort of European adults as they aged over a 20-year period. Methods Levels of serum specific IgE to common aeroallergens (house dust mite, cat, and grass) and total IgE levels were measured in 3206 adults from 25 centers in the European Community Respiratory Health Survey on 3 occasions over 20 years. Changes in sensitization and total IgE levels were analyzed by using regression analysis corrected for potential differences in laboratory equipment and by using inverse sampling probability weights to account for nonresponse. Results Over the 20-year follow-up, the prevalence of sensitization to at least 1 of the 3 allergens decreased from 29.4% to 24.8% (-4.6%; 95% CI, -7.0% to -2.1%). The prevalence of sensitization to house dust mite (-4.3%; 95% CI, -6.0% to -2.6%) and cat (-2.1%; 95% CI, -3.6% to -0.7%) decreased more than sensitization to grass (-0.6%; 95% CI, -2.5% to 1.3%). Age-specific prevalence of sensitization to house dust mite and cat did not differ between year-of-birth cohorts, but sensitization to grass was most prevalent in the most recent ones. Overall, total IgE levels decreased significantly (geometric mean ratio, 0.63; 95% CI, 0.58-0.68) at all ages in all year-of-birth cohorts. Conclusion Aging was associated with lower levels of sensitization, especially to house dust mite and cat, after the age of 20 years. © 2015 The Authors. Published by Elsevier, Inc. on behalf ofthe American Academy of Allergy, Asthma&Immunology. This is an open access article under the CC BY license.
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2.
  • Carsin, Anne-Elie, et al. (författare)
  • Physical activity and incidence of restrictive spirometry pattern in adults
  • 2018
  • Ingår i: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 52
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Introduction: A restrictive spirometry pattern is associated with high morbidity and mortality. Whether regular physical activity (PA) protects against this pattern has never been studied.Objective: To assess if PA is associated with the development of restrictive pattern.Methods: Lung function and PA were assessed in the second and third follow-up of the ECRHS (n=2757, 39-67 years) and SAPALDIA (n=2610, 36-82 y) cohorts. Subjects with restrictive or obstructive pattern at baseline were excluded. We assessed the association of being active at baseline (defined as exercising vigorously >2-3 times/wk for >1 h) and restrictive pattern at follow-up (defined as a post-bronchodilator FEV1/FVC≥LLN and FVC<80% pred.) using modified Poisson regression, adjusting for age, sex, smoking and asthma. We explored the impact of adjusting for baseline FVC. Additionally, models were repeated stratified by BMI.Results: After 10 years follow-up, 3.7% and 2.8% of participants developed a restrictive pattern, in ECRHS and SAPALDIA respectively. In both cohorts, being physically active was associated with lower risk of a restrictive pattern (meta-analysed RR 0.65, 95% CI 0.47-0.89). This association was stronger in overweight (0.41, 0.23-0.75) and obese (0.42, 0.17-1.05) than in normal weight subjects, but was attenuated when adjusting for baseline FVC (0.77, 0.58-1.04).Conclusion: In two large European studies, adults who reported more PA were at lower risk of developing a restrictive spirometry pattern. Lung function at baseline seemed to explain part of the observed association, stressing the need of adequate method to take into account both horse-racing and regression-to-the-means effects.
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