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. Author manuscript; available in PMC: 2018 Aug 16.
Published in final edited form as: WMJ. 2014 Dec;113(6):232–238.

Table 3.

Adjusted Prevalencea of Using at Least 1 or at Least 5 Prescription Medications

≥1 Prescription Medication
≥5 Prescription Medications
Percent (95% CI) P-value Percent (95% CI) P-value
Age (years)b
21–39 36.0 (30.8, 41.1) <0.001 3.4 (1.8, 5.0) <0.001
40–59 62.2 (55.4, 69.0) 13.5 (10.2, 16.8)
60–74 69.2 (63.6, 74.7) 27.5 (23.5, 31.4)
Genderb
Men 49.0 (43.4, 54.6) 0.001 10.8 (8.6, 13.0) 0.002
Women 59.4 (53.9, 64.9) 16.3 (13.5, 19.1)
Raceb
Non-Hispanic white 56.0 (51.1, 60.9) 0.20 13.1 (10.9, 15.2) <0.001
Non-Hispanic black 52.2 (43.6, 60.9) 22.2 (13.6, 30.9)
Hispanic 33.4 (21.2, 45.7) 11.8 (1.9, 21.7)
Other 41.0 (23.8, 58.2) 10.5 (2.0, 19.0)
Educationc
<High school 64.5 (54.4, 73.4) 0.39 10.1 (6.3, 15.9) 0.02
High school 56.1 (33.3, 76.6) 13.3 (4.4, 33.7)
Some college 56.5 (35.7, 75.3) 12.1 (4.6, 28.2)
≥College 55.2 (34.0, 74.6) 7.2 (2.5, 18.7)
BMI (kg/m2)c
<25 46.9 (38.3, 55.7) <0.001 3.0 (1.6, 5.6) <0.001
≥25 and <30 46.4 (31.4, 62.2) 8.7 (2.5, 26.2)
≥30 70.6 (53.8, 83.2) 18.4 (5.9, 44.9)
Family incomec
Don’t know 62.9 (34.5, 84.5) 0.19 6.8 (4.0, 11.3) 0.001
<25,000/year 62.5 (41.3, 79.8) 16.7 (4.5, 46.1)
25,000–49,999/year 56.1 (34.7, 75.5) 16.9 (5.8, 40.0)
50,000–99,999/year 54.0 (34.7, 72.2) 9.5 (3.0, 26.0)
≥100,000/year 55.3 (45.6, 64.6) 9.6 (3.0, 27.0)
Smokingd
Current 51.3 (36.0, 66.4) 0.11 12.9 (5.6, 27.0) 0.004
Former 62.5 (46.8, 75.9) 15.2 (7.8, 27.5)
Never 53.8 (47.0, 60.5) 8.1 (6.0, 10.8)

Data from Survey of the Health of Wisconsin (SHOW), 2008–2010.

a

Weighted and adjusted for sampling design. Education, BMI, family income, and smoking also were adjusted for age (continuous), gender, and race (non-Hispanic white and other).

b

P-value for Rao-Scott chi-square test using design adjusted, survey weighted frequencies.

c

P-value for trend in ordinal independent variable tested using design adjusted, survey weighted logistic regression.

d

P-value for Wald chi-square test in nominal independent variables tested using design adjusted, survey weighted logistic regression.