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1. What are the frequency and percentage of the COPD patients in the severe air?

ID: 3200055 • Letter: 1

Question

1. What are the frequency and percentage of the COPD patients in the severe air?ow limitation group who are employed in the Eckerblad et al. (2014) study? 2. What percentage of the total sample is retired? What percentage of the total sample is on sick leave? 3. What is the total sample size of this study? What frequency and percentage of the total sample were still employed? Show your calculations and round your answer to the nearest whole percent. 4. What is the total percentage of the sample with a smoking history—either still smoking or former smokers? Is the smoking history for study participants clinically important? Provide a rationale for your answer. • 5. What are pack years of smoking? Is there a signi?cant difference between the moderate and severe air ow limitation groups regarding pack years of smoking? Provide a rationale for your answer. TABLE 1 BACKGROUND CHARACTERISTICS A USE OF MEDICATION FOR PATIENTS WTH STABLE CHRONICOBSTRUCTIVE LUNG DISEASE CLASSIHED IN PATIENTS WTTH MODERATE AND SEVERE AIRFLOW LIMITA p value 0.607 19 (45) 29 (59) 23 (55) 20 (41) Age (yrs), mean (SD) 66.5 (8.6) 67.9 (6.8) 0.396 Married/cohabitant (x) 29 (69) 34 (1) 0.854 Employed, n (96) 7(17) 0.754 0.789 12 (24) Former smokers 28 (67) 35 (71) Never smokers 1 (2) 2 (4) pack years smoking, mean (SD) 29.1 (13.5) 34.0 (19.5) BMI 27.2 (5.2) 26.5 (6.1) 0.555 FEV, 9% of predicted, mean (SD) 61.6 (8.4) 42.2 (58) 3.0)

Explanation / Answer

1.) Frequency = 7

Percentage = 14%

2.) Percentage of retired = Number of retired*100 / Sample size = (sample size - 14)*100 / sample size

= 77*100 / 91 = 84.61%

Percentage of sick leave = Number of sick leave*100 / Sample size = 24*100 / sample size

= 24*100 / 91 = 26.37%

3.) Sample size = 42+49 = 91

  frequency of still employed = 14

percentage of the total sample were still employed = 14*100/91 = 15.38% ~ 15%

4.) Percentage of the sample with a smoking history = Number of employees with smoking history*100 / 91

= (13+28+12+35)*100 / 91

= 96.7%

Yes, the smoking history for study participants clinically important because a large percentage has a smoking history.