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Prevalence, progression and impact of chronic cough on employment in Northern Europe.

Henrik JohanssonAne JohannessenMathias HolmBertil ForsbergVivi SchlünssenRain JogiMichael ClausenEva LindbergMalinovschi AndreiÖssur Ingi Emilsson
Published in: The European respiratory journal (2021)
We investigated the prevalence of chronic cough and its association with work ability and sick leave in the general population.Data were analysed from the Respiratory Health In Northern Europe (RHINE) III cohort (n=13 500), of which 11 252 participants had also participated in RHINE II 10 years earlier, a multicentre study in Northern Europe. Participants answered a questionnaire on chronic cough, employment factors, smoking and respiratory comorbidities.Nonproductive chronic cough was found in 7% and productive chronic cough in 9% of the participants. Participants with nonproductive cough were more often female and participants with productive cough were more often smokers and had a higher body mass index (BMI) than those without cough. Participants with chronic cough more often reported >7 days of sick leave in the preceding year than those without cough ("nonproductive cough" 21% and "productive cough" 24%; p<0.001 for comparisons with "no cough" 13%). This pattern was consistent after adjusting for age, sex, BMI, education level, smoking status and comorbidities. Participants with chronic cough at baseline reported lower work ability and more often had >7 days of sick leave at follow-up than those without cough. These associations remained significant after adjusting for cough at follow-up and other confounding factors.Chronic cough was found in around one in six participants and was associated with more sick leave. Chronic cough 10 years earlier was associated with lower work ability and sick leave at follow-up. These associations were not explained by studied comorbidities. This indication of negative effects on employment from chronic cough needs to be recognised.
Keyphrases
  • body mass index
  • healthcare
  • public health
  • machine learning
  • risk factors
  • drug induced
  • cross sectional
  • mass spectrometry
  • weight gain
  • high resolution
  • artificial intelligence
  • big data
  • social media
  • mental illness