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Träfflista för sökning "WFRF:(Bhatta Laxmi) srt2:(2020)"

Sökning: WFRF:(Bhatta Laxmi) > (2020)

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1.
  • Backman, Helena, et al. (författare)
  • Respiratory symptoms as risk factors for mortality – the Nordic EpiLung Study
  • 2020
  • Ingår i: European Respiratory Journal. - : European Respiratory Society (ERS). - 0903-1936 .- 1399-3003. ; 56:Suppl 64
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Background: Little is known on associations between respiratory symptoms and mortality.Aim: To study whether respiratory symptoms are risk factors for all-cause, respiratory, cardiovascular (CV), and cancer mortality in Sweden and Norway.Methods: In 1995-1997, population samples (20-69y) were surveyed about respiratory symptoms, and n=7,104 (85.3% of invited, median age 45y) and n=54,240 (70.1%, 44y) participated within the OLIN Studies in Northern Sweden and the HUNT Study in Norway. Mortality was studied until December 31st 2015. Hazard ratios (HR) for associations between respiratory symptoms and mortality were estimated by Cox regression models adjusted for age, sex, educational level, and smoking habits.Results: The cumulative 20-year mortality was 14.5% in OLIN and 12.6% in HUNT. Dyspnea (mMRC grade≥2) (HR 1.9, 95%CI 1.6-2.2 in OLIN and 1.6, 1.5-1.7 in HUNT), chronic productive cough (1.5, 1.3-1.8 and 1.5, 1.3-1.6), and wheeze (1.3, 1.1-1.5 and 1.3, 1.2-1.4) were associated with increased risk of all-cause mortality. Women reported dyspnea and wheeze more frequently than men in both countries, but the association with mortality was similar in both sexes. Causes of death were studied in OLIN, where dyspnea associated with increased risk of respiratory (3.6, 2.1-6.1), CV (2.1, 1.6-2.7), and cancer (1.3, 1.0-1.8) mortality. Chronic productive cough was associated with increased risk of respiratory (2.4, 1.3-4.3) and cancer (1.6, 1.2-2.2) mortality, while wheeze was associated with increased risk of respiratory (3.5, 2.1-5.7) and CV (1.3, 1.0-1.6) mortality.Conclusions: Common respiratory symptoms were similarly associated with increased risk of mortality in adults in Sweden and Norway.
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2.
  • Schyllert, Christian, 1983-, et al. (författare)
  • Risk factor pattern for asthma in 1996, 2006 and 2016 in Sweden – the OLIN and Nordic EpiLung studies
  • 2020
  • Ingår i: European Respiratory Journal. - : European Respiratory Society (ERS). - 0903-1936 .- 1399-3003. ; 56:Suppl 64
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Background: During the second half of the 20th century the prevalence of asthma has increased and smoking habits and socioeconomy has changed in Sweden.Aim: To analyze risk factor patterns for current asthma in 1996, 2006 and 2016.Methods: Three cross-sectional random samples from the same area of Sweden, 20-69 years, participated in population surveys with the same validated questionnaire in 1996 (n=7104 participants, 85% response rate), 2006 (n=6165, 77%) and 2016 (n=5466, 53%). Current asthma was defined as physician-diagnosed asthma with symptoms common in asthma and/or asthma medication use during the last 12 months. Socioeconomic classification was based on occupation. Risk factors for current asthma were analyzed by multivariable logistic regression.Results: A family history of asthma yielded the highest odds ratios (OR) all three years with ORs 3.19-3.66. Data on occupational exposure to gas, dust or fumes (GDF) was not available in 1996, but associated with current asthma in both 2006 (1.86, 1.51-2.30) and 2016 (1.70, 1.37-2.10). Ex-smoking was a risk factor in 1996 (1.39, 1-12-1.73) and 2006 (1.38, 1.11-1.71) but not in 2016 (1.15, 0.92-1.44). Manual workers in service and industry, non-manual employees and self-employed had increased risk for current asthma in 2016, but not in 1996 or 2006, compared to professionals and executives.Conclusion: The risk factor pattern for asthma among adults has changed in Sweden from 1996 to 2016. While occupational exposure to GDF was a prominent and constant risk factor for asthma, ex-smoking lost significance in 2016, and socioeconomic differences with regard to occupation emerged.
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