Awareness of Hypertension, Hypercholesterolemia, and Diabetes Mellitus and Associated Characteristics in Russian Adults
Table 2
Prevalence of the awareness of hypertension, hypercholesterolemia, and diabetes mellitus among study participants with corresponding risk factors in the total sample and with stratification by study site and sex.
Total study population
Novosibirsk study population
Arkhangelsk study population
Na
Crude estimates
Standardized estimatesb
Na
Crude estimates
Standardized estimatesa
Na
Crude estimates
Standardized estimatesa
Percent (95% CI)
Percent (95% CI)
Percent (95% CI)
Total sample
Hypertension
2206
83.6 (82.0; 85.1)
79.3 (76.9; 81.5)
890
81.4 (78.7; 83.8)
74.7 (70.4; 78.5)
1316
85.2 (83.2; 87.0)
81.4 (78.4; 84.0)†
Hypercholesterolemia
3171
50.3 (48.6; 52.1)
44.7 (42.9; 46.5)
1288
49.4 (46.7; 52.1)
41.6 (38.9; 44.4)
1883
51.0 (48.7; 53.2)
46.5 (44.2; 48.8)†
Diabetes mellitus
329
73.9 (68.8; 78.3)
61.2 (53.4; 68.4)
148
77.0 (69.5; 83.1)
69.1 (60.5; 76.5)
181
71.3 (64.2; 77.4)
58.3 (50.2; 66.1)
Males
Hypertension
1017
77.1 (74.4; 79.6)
74.6 (71.2; 77.7)
396
72.0 (67.3; 76.2)
65.5 (58.9; 71.5)
621
80.4 (77.0; 83.3)
79.0 (75.0; 82.4)†
Hypercholesteremia
1325
40.2 (37.5; 42.8)
38.0 (35.4; 40.8)
532
38.5 (34.5; 42.8)
34.0 (29.9; 38.3)
793
41.2 (37.9; 44.7)
40.3 (36.8; 43.8)
Diabetes mellitus
122
72.1 (63.4; 79.4)
60.5 (51.1; 69.1)
58
70.7 (57.7; 81.0)
57.2 (43.5; 69.9)
64
73.4 (61.2; 82.9)
65.7 (55.2; 74.9)
Females
Hypertension
1189
89.2 (87.3; 90.9)
84.0 (80.6; 86.9)‡
494
88.9 (85.8; 91.4)
83.8 (78.2; 88.3)‡
695
89.5 (87.0; 91.6)
83.8 (79.2; 87.5)‡
Hypercholesterolemia
1846
57.6 (55.4; 59.9)
51.4 (49.0; 53.7)‡
756
57.0 (53.5; 60.5)
49.3 (45.7; 52.9)‡
1090
58.1 (55.1; 61.0)
52.7 (49.7; 55.7)‡
Diabetes mellitus
207
74.9 (68.5; 80.4)
61.8 (49.3; 73.0)
90
81.1 (71.6; 88.0)
81.0 (70.4; 88.4)
117
70.1 (61.1; 77.7)
51.0 (38.5; 63.3)†
aNumber of study participants with objectively ascertained risk factor. bAge- and sex-standardized to ESP2013 for the total sample, age-standardized to ESP2013 for males and females. † for difference between sites, binary logistic regression with adjustments for age for males and females and also for sex for the total sample. ‡ for difference between sexes, logistic regression with adjustments for.
