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. Author manuscript; available in PMC: 2015 Nov 1.
Published in final edited form as: Neurobiol Aging. 2014 May 9;35(11):2429–2435. doi: 10.1016/j.neurobiolaging.2014.05.002

Table 1.

Characteristics of study participants (n = 3417) by anti-HTN medication use

Characteristics Nonusers (n = 1425) Anti-HTN medication users (n = 1992) p
Male, n (%) 662 (46.5) 768 (38.6) <0.001
Age, (y) mean ± SD 74.2 ± 6.5 74.9 ± 6.4 0.002
Education, (y) mean ± SD 13.6 ± 2.9 13.2 ± 2.9 0.002
Smoking habits, n (%)a
  Nonsmoker 1138 (80.0) 1619 (81.4) 0.006
  Ever smoker 237 (16.7) 336 (16.9)
  Current smoker 48 (3.4) 33 (1.7)
Drinking habits, n (%)a
  Nondrinker 1193 (83.9) 1674 (84.2) 0.515
  Ever drinker 167 (11.7) 243 (12.2)
  Current drinker 62 (4.4) 72 (3.6)
Number of ε4 alleles, n (%)a
  0 938 (66.7) 1392 (70.3) 0.065
  1 434 (30.9) 538 (27.2)
  2 35 (2.5) 50 (2.5)
Prevalence of vascular risk factors, n (%)a
  Hypertension 341 (33.2) 1582 (85.1) <0.001
  High cholesterol 476 (46.3) 985 (61.2) <0.001
  Diabetes mellitus 151 (15.6) 486 (32.0) <0.001
  Stroke 82 (8.9) 260 (17.9) <0.001
  CABG 63 (6.9) 273 (18.6) <0.001
  MI 108 (11.4) 446 (29.4) <0.001
Alzheimer’s disease, n (%) 159 (11.2) 166 (8.3) 0.003

Key: CABG, coronary artery bypass graft; MI, myocardial infarction; SD, standard deviation.

a

This is the percentage of the total number with non-missing data.