Table 2.
Demographic and health characteristics for whole sample (n = 915) according to level of yogurt intake. a
| Parameter | Yogurt intake categories |
||||
|---|---|---|---|---|---|
| All (n = 915) |
Never (n = 263) |
≤1/week (n=383) |
≥2/week (n = 269) |
P | |
| n (%) | n (%) | n (%) | n (%) | ||
|
| |||||
| Gender | <0.01 | ||||
| male | 369 (40) | 145 (55) | 154 (40) | 70 (26) | |
| Female | 546 (60) | 118 (45) | 229 (60) | 199 (74) | |
| Ethnicity | 0.34 | ||||
| African American | 68 (7) | 18 (7) | 34 (9) | 16 (6) | |
| Other | 847 (93) | 245 (93) | 349 (91) | 253 (94) | |
| Hypertension | 564 (62) | 192 (73) | 234 (61) | 138 (51) | <0.01 |
| Antihypertensive Meds | 459 (50) | 150 (57) | 200 (52) | 109 (41) | <0.01 |
| Diabetes | 113 (12) | 41 (16) | 50 (13) | 22 (8) | <0.05 |
| Diabetes Meds | 94 (10) | 36 (14) | 38 (10) | 20 (7) | 0.06 |
| Cardiovascular disease | 137 (15) | 47 (18) | 54 (14) | 36 (13) | 0.29 |
| Cholesterol Meds | 254 (28) | 90 (34) | 98 (26) | 66 (25) | <0.05 |
a
One-way ANOVAs were used to compare continuous variables and Chi-square tests of independence were used to compare categorical variables.