Translation and Cultural Adaptation of PROactive Instruments for COPD in French and Influence of Weather and Pollution on Its Difficulty Score

Figures & data

Table 1 Baseline Characteristics of the Patients

N	117
Male/Female, n (%)	71 (61)/46 (39)
Age, year	65±9
BMI, kg.m^−2	25.3±5.8
LTOT, n (%)	26 (22)
FEV1%predicted*	51±20
GOLD 1/2/3/4, n (%)*	5 (4)/27 (23)/21 (18)/9 (8)
FEV1/FVC %*	47±13.5

Notes: Data are presented as mean ± SD unless otherwise indicated. *The available data are for n = 62.

Abbreviations: SD = standard deviation; BMI = body mass index; LTOT = long term oxygen therapy; FEV₁ forced expiratory volume in 1s; GOLD = global initiative for chronic obstructive lung disease; FVC = forced vital capacity.

Figure 1 Comprehensibility of the C-PPAC questionnaire expressed in Likert scores for the 12 questions. Radar chart representing every Likert category from 0 to 5, 0 being “not at all clear” to 5 being “absolutely clear” (the percentage of each Likert category is presented on the y-axis; Likert 0 and 1 were not visible due to the presence of < 5% of the patients).

Figure 2 (A) Difficulty score of the C-PPAC questionnaire in patients with and without LTOT. LTOT = long term oxygen therapy. (B) Difficulty score of the C-PPAC questionnaire according to the influence of rainfall.

Figure 3 Regional dispersion of variables in France. (A) Number of COPD patients. (B) Air quality index {from 0 = very good to 10 =very bad quality). (C) Minimum temperature (°C). (D) Maximum temperature (°C). (E) Duration of daylight (min). (F) Intensity of rainfall (mm). All variables were obtained on a daily basis measure and expressed as mean week-value, except for (A).