Has the perception of disability among COPD patients applying for pension changed during the last 20 years?

Respir Med. 2001 May;95(5):398-403. doi: 10.1053/rmed.2001.1059.

Abstract

The aim is to examine the change in lung function, treatment and pulmonary symptoms in patients with chronic obstructive pulmonary disease (COPD) or chronic bronchitis (CB) applying for a pension during the period 1977-1996. In addition, we compared the perception of disability in males and females. From 1977 to 1996, 947 patients with COPD or CB were evaluated for obtaining economic support due to disability. In order to test the trend, the patients were divided into three periods: (1) 1977-1983, (2) 1984-1989 and (3) 1990-1996. Compared to females, males had substantial more pack-years of smoking (36 vs. 28, P<0.001), but their FEV1 was only slightly decreased (46.9% versus 49.6% predicted, P=0.047). Females reported significantly more often attacks of dyspnoea [OR: 1.5(1.00-2.2)] and any kind of dyspnoea during daytime [OR: 4.0(1.2-13.3)]. From period 1 to period 3, FEV1 increased significantly (45-53% predicted, P<0.001). Despite the increased FEV1, the use of inhaled corticosteroid had increased markedly (9-32% of the patients, P<0.001). The results did not change when patients with asthma were included. Our data suggest that both sexes, especially females, have become more aware of pulmonary symptoms and tend to react to them more actively by demanding evaluation and treatment.

Publication types

  • Comparative Study

MeSH terms

  • Asthma / complications
  • Asthma / drug therapy
  • Asthma / psychology
  • Attitude to Health*
  • Binomial Distribution
  • Chi-Square Distribution
  • Disability Evaluation*
  • Dyspnea / drug therapy
  • Dyspnea / etiology
  • Dyspnea / psychology
  • Female
  • Forced Expiratory Volume
  • Humans
  • Male
  • Middle Aged
  • Pulmonary Disease, Chronic Obstructive / complications
  • Pulmonary Disease, Chronic Obstructive / drug therapy
  • Pulmonary Disease, Chronic Obstructive / psychology*
  • Regression Analysis
  • Sex Factors
  • Smoking
  • Social Security*
  • Statistics, Nonparametric