Skip to main content

Table 2 Bivariate and multivariate analysis of the factors associated with polypharmacy (≥5 different drugs/day), Colaus study, Switzerland, 2009–2012, 4938 participants

From: Prevalence and determinants of polypharmacy in Switzerland: data from the CoLaus study

 

No (n = 4358)

Yes (n = 580)

P-value

Multivariate

P-value for trend

Gender

  

0.973

  

 Woman

2325 (53.4)

309 (53.3)

 

1 (ref.)

 

 Man

2033 (46.7)

271 (46.7)

 

0.92 (0.75–1.12)

 

Age (years)

56.6 ± 10.1

66.0 ± 9.1

<0.001

  

Age group (%)

  

<0.001

 

<0.001

 40–49

1359 (31.2)

40 (6.9)

 

1 (ref.)

 

 50–64

1970 (45.2)

187 (32.2)

 

2.90 (2.04–4.12)

 

 65–81

1029 (23.6)

353 (60.9)

 

10.3 (7.26–14.5)

 

BMI categories (%)

  

<0.001

 

<0.001

 Normal + underweight

2034 (46.7)

125 (21.6)

 

1 (ref.)

 

 Overweight

1685 (38.7)

247 (42.6)

 

2.09 (1.65–2.66)

 

 Obese

639 (14.7)

208 (35.9)

 

4.38 (3.39–5.66)

 

Education (%)

  

<0.001

 

0.002

 High

995 (22.8)

70 (12.1)

 

1 (ref.)

 

 Middle

1154 (26.5)

124 (21.4)

 

1.15 (0.83–1.58)

 

 Low

2209 (50.7)

386 (66.6)

 

1.56 (1.17–2.07)

 

Marital status (%)

  

0.121

  

 Living alone

1851 (42.5)

266 (45.9)

 

1 (ref.)

 

 Living in a couple

2507 (57.5)

314 (54.1)

 

0.86 (0.71–1.05)

 

Born in Switzerland (%)

  

0.303

  

 No

1621 (37.2)

203 (35.0)

 

1 (ref.)

 

 Yes

2737 (62.8)

377 (65.0)

 

0.87 (0.72–1.06)

 

Smoking status (%)

  

<0.001

 

<0.001

 Never

1816 (41.7)

192 (33.1)

 

1 (ref.)

 

 Former

1588 (36.4)

271 (46.7)

 

1.42 (1.14–1.75)

 

 Current

954 (21.9)

117 (20.2)

 

1.63 (1.25–2.12)

 
  1. BMI Body mass index. Bivariate analysis using chi-square for categorical variables and student’s t-test for continuous variables; results are expressed as number of participants (column percentage) or as mean ± standard deviation. Multivariate analysis using logistic regression; results are expressed as odds ratio and (95% confidence interval)